Data Engineer Jobs

Senior Azure Data Engineer Experience: 8-10 YearsLocation: BangaloreHiring Company: Talent Zone ConsultantBrief JD:We are hiring a Senior Azure Data Engineer with strong experience in designing and developing scalable cloud-based data solutions. The role involves building data pipelines, ETL processes, data integration and analytics solutions using the Microsoft Azure data platform.Key ResponsibilitiesDesign and develop scalable Azure data pipelines and ETL workflows.Build data integration solutions using Azure Data Factory (ADF).Work with Azure Data Lake, Synapse Analytics and Databricks.Develop data transformations using Python, PySpark and SQL.Implement data quality, validation and monitoring processes.Optimize data pipelines and improve performance.Integrate data from multiple structured and unstructured sources.Collaborate with data architects, analysts and business teams.Support deployment, troubleshooting and production data issues.Relevant SkillsetAzure Data Engineering, Azure Data Factory, Azure Data Lake, Azure Synapse, Databricks, PySpark, Python, SQL, ETL, Data Pipelines, Data Integration, Data Warehousing, Delta Lake, Azure DevOps, CI/CD

Job DescriptionApply under Opportunity Card GermanyExcellent opportunity in every field.excellent chances to get PR within 8 monthsFamily visaGovt visaFree education and medical facilitiesWill be treated as citizenPermanent visaHigh Level standardAmazing cultureRewarding employment opportunitiesAll post landing services will be guided before landing GermanyCandidate will have every legal right what the citizen enjoys except right to voteChild tax benefits givenPension plan givenUnemployment wages givenSpouse can legally work

AI/ML Engineer - HiringJob Assist is looking for motivated AI/ML Engineers to join our technology team. Freshers and candidates with up to 5 years of experience are welcome to apply.Key Skills: Python, Machine Learning, AI/LLMs, Data Processing, APIs, TensorFlow/PyTorch, Git/GitHub and basic model development.Interested? Apply here https://docs.google.com/forms/d/e/1FAIpQLSepogJzUbMYGrShwag4RyvkiHd1_aKenW6j2nnSe-ymz6AqjA/viewform?usp=dialogImportant: If you are interested, you must complete the Google Form. Your registration will not be considered complete without the form. Candidates who do not submit the form will not be contacted or considered for the selection process.Submitting the form does not guarantee selection. Shortlisted candidates will be contacted by our team.

We are seeking an experienced Senior SAP S4HANA PPQM Support Consultant to provide L2L3 application support process optimization incident resolution and enhancement delivery for Production Planning PP and Quality Management QM processes within SAP S4HANA The consultant will be responsible for ensuring stable manufacturing and quality operations supporting business users and driving continuous process improvements across production and quality functions The role requires strong expertise in manufacturing processes quality assurance and integration with other SAP modules in a support environmentKey ResponsibilitiesApplication Support Incident ManagementProvide L2L3 support for SAP S4HANA PP and QM modulesAnalyze troubleshoot and resolve production and qualityrelated incidents within SLA timelinesPerform root cause analysis RCA for recurring issues and process disruptionsSupport business users on process queries and howto requestsCoordinate with SAP OSS for issue resolution and note implementationSupport monthend and periodic manufacturing closure activitiesProduction Planning SupportSupport endtoend manufacturing planning and execution processesManage and supportMaterial Requirements Planning MRPDemand ManagementProduction OrdersPlanned OrdersCapacity PlanningShop Floor ControlProduction SchedulingProduction VersionsBOMs Bills of MaterialRoutings and Work CentersRepetitive ManufacturingMaketoStock MTS and MaketoOrder MTO processesResolve production execution and planningrelated system issuesQuality Management SupportSupport SAP QM processes includingInspection PlanningQuality NotificationsQuality CertificatesIncoming Quality InspectionInProcess InspectionFinal InspectionUsage DecisionsNonConformance ManagementDefect ProcessingAudit ManagementCalibration Process IntegrationSupport corrective and preventive action CAPA processesCoordinate with production and quality teams for issue resolutionEnhancements Continuous ImprovementGather business requirements and recommend SAP bestpractice solutionsPrepare Functional Specifications FS for enhancements and developmentsCoordinate with ABAP BASIS Security and Integration teamsParticipate in change requests process improvements and automation initiativesIdentify opportunities to improve planning and quality processesTesting Deployment SupportExecute Unit Testing Integration Testing and Regression TestingSupport User Acceptance Testing UATValidate transports and support production deploymentsAssist in release and change management activitiesDocumentation Knowledge ManagementPrepare support documentation SOPs knowledge articles and training materialsMaintain process documentation and issue resolution recordsConduct user knowledgesharing sessions and training workshopsFunctional Skill RequirementsSAP PP ExpertiseDemand ManagementMRP MRP LiveLongTerm PlanningProduction OrdersShop Floor ControlCapacity PlanningProduction SchedulingWork CentersRoutingsProduction VersionsBOM ManagementRepetitive ManufacturingProduct Costing AwarenessVariant Configuration PreferredSAP QM ExpertiseQuality PlanningInspection PlanningQuality NotificationsQuality CertificatesInspection LotsUsage DecisionQuality AuditsCalibration ManagementNonConformance TrackingDefect ProcessingCAPA ProcessesFMEA Awareness PreferredPPAP Awareness PreferredIntegration KnowledgeStrong understanding of SAP PPQM integration withSAP MM Procurement InventorySAP SD Sales DistributionSAP FICOSAP PM Plant MaintenanceSAP EWMWMSAP MES Manufacturing Systems PreferredSAP DMS PreferredAbility to work in highly integrated SAP S4HANA environmentsS4HANA SkillsSAP S4HANA Manufacturing ProcessesSAP Fiori Applications for PPQMEmbedded AnalyticsProduction Planning OptimizationBusiness Partner AwarenessS4HANA MigrationUpgrade SupportProcess Simplification in S4HANA EnvironmentTechnical Support SkillsIncident Problem Change ManagementITSM Ticket HandlingRoot Cause Analysis RCASAP OSS Incident ManagementFunctional Specification PreparationBatch Job MonitoringTransport ManagementData Correction ValidationCoordination with ABAP Teams for Debugging SupportSLA and Support Governance CompliancePreferred QualificationsSAP S4HANA PP andor QM CertificationExperience in Manufacturing Engineering EPC Automotive Chemicals Pharma Heavy Engineering or Discrete Manufacturing industriesExperience in AMSApplication Support engagementsExposure to SAP S4HANA implementations rollouts upgrades or transformation programsFamiliarity with ITIL processes and support governanceKey CompetenciesStrong analytical and problemsolving skillsDeep understandingSkillsMandatory Skills : Production Planning

Key ResponsibilitiesExecute engineering projects and technical assignments within defined timelines.Monitor and maintain engineering processes, systems, and equipment performance.Prepare technical reports, project documentation, drawings, and specifications.Coordinate with production, quality, maintenance, procurement, and project teams.Analyze technical issues and implement effective corrective actions.Ensure compliance with safety, quality, environmental, and regulatory standards.Support installation, testing, commissioning, and validation activities.Assist in process optimization and continuous improvement initiatives.Monitor project progress and provide regular updates to management.Liaise with vendors, contractors, and customers on technical matters.Participate in root cause analysis and problem-solving activities.

Key Responsibilities: QMS Implementation & Maintenance: Develop, implement, and monitor QMS policies, procedures, and documentation as per ISO 9001 and industry-specific standards. Process Control: Ensure process audits, inspections, and corrective actions are carried out to maintain quality in brass production processes. Internal & External Audits: Plan, coordinate, and conduct internal audits; facilitate external audits (certification, customer, or regulatory). Customer Quality Assurance: Address customer complaints, coordinate root cause analysis, and implement corrective/preventive actions (CAPA). Training & Awareness: Conduct QMS training and awareness sessions for employees at all levels to foster a culture of quality. Continuous Improvement: Drive initiatives for reducing defects, improving yield, and enhancing customer satisfaction. Compliance & Reporting: Ensure adherence to statutory, regulatory, and customer-specific quality requirements; prepare management review reports.

We are looking for an Enterprise Cloud Engineer to manage, monitor, automate, and optimize AWS and Azure cloud infrastructure in a commercial environment. The role involves cloud operations, infrastructure automation, monitoring, security, performance management, capacity planning, and cloud migration while supporting both cloud and on-premise environments.Key Responsibilities:Provision, deploy, configure, and monitor AWS and Azure cloud environments.Automate infrastructure using Terraform, CloudFormation, Python, Docker, Salt, and Puppet.Architect and manage AWS and Azure virtual machines following cloud best practices.Install, configure, and maintain operating systems, databases, applications, and development environments.Monitor infrastructure and application performance using tools such as AWS CloudWatch, Nagios, New Relic, Grafana, PRTG, and SolarWinds.Identify performance bottlenecks and implement infrastructure improvements.Plan resource scaling and implement auto-scaling solutions based on workload requirements.Monitor cloud infrastructure costs and identify cost optimization opportunities.Manage users, policies, and cloud security controls.Design and support public/private cloud migration solutions.Support on-premise to cloud migration projects and infrastructure modernization.Manage infrastructure capacity, availability, utilization, and expansion requirements.Provision, maintain, and monitor MSSQL and MySQL databases.Manage Microsoft infrastructure services including Active Directory, DNS, DHCP, Azure AD, and Azure AD Connect.Support web applications, middleware platforms, and infrastructure services.Develop support processes, work plans, risk management plans, and technical schedules.Collaborate with infrastructure, network, database, application, and service teams.Participate in on-call support and resolve infrastructure issues when required.Required Skills & Qualifications:4-7 years of experience in Cloud Infrastructure, Cloud Engineering, DevOps, or Infrastructure Administration.Strong hands-on experience managing both AWS and Azure cloud environments.Experience with on-premise to cloud migration projects.Strong scripting skills in Python, Shell, and PowerShell.Experience with Terraform and/or CloudFormation.Good knowledge of virtualization, high availability, performance tuning, and capacity planning.Experience with cloud monitoring and observability tools such as CloudWatch, Nagios, New Relic, or Grafana.Knowledge of AWS/Azure scaling, web services, database services, and caching infrastructure.Experience with MSSQL and MySQL provisioning, maintenance, and monitoring.Strong knowledge of Microsoft infrastructure services including Active Directory, DNS, DHCP, Azure AD, and Azure AD Connect.Understanding of web applications and middleware such as Tomcat and Python frameworks.Knowledge of server, storage, and data centre infrastructure.Understanding of Agile and Waterfall methodologies.Strong troubleshooting, communication, presentation, and collaboration skills.Certifications:Required: AWS Certified Solutions ArchitectDesirable: Red Hat CertificationDesirable: MCSE - Cloud Platform and Infrastructure

We are seeking a CMM Engineer to join our team in Vadodara, India. This full-time role is ideal for individuals with 1 to 5 years of experience and a diploma in a relevant field. The successful candidate will play a vital role in ensuring the precision and quality of our products.Key responsibilities include:1. Setting Up CMM: The engineer will set up and calibrate Coordinate Measuring Machines (CMM) to perform accurate inspections of components.2. Conducting Inspections: Regularly carry out inspections on various parts and assemblies, ensuring they meet desired specifications and quality standards.3. Maintaining Documentation: Document inspection results and create reports that detail findings, helping to track product quality and compliance.4. Collaborating with Teams: Work closely with production and quality assurance teams to identify any potential quality issues and suggest improvements.5. Troubleshooting Issues: Diagnose and resolve any problems related to CMM operations to ensure uninterrupted quality control processes.Required skills and expectations include:- A diploma in mechanical or related engineering fields is essential.- A solid understanding of CMM operation and programming.- Strong analytical skills and attention to detail for accurate inspections.- Effective communication skills for teamwork and reporting.- A proactive attitude towards quality improvement and problem-solving.This position demands a dedication to quality and precision, along with the ability to work within a team environment.

We are actively hiring for our Application Development team an experienced Industrial Automation Engineers. Looking for passionate professionals with strong expertise in PLC, SCADA, DCS systems, and automation programming. Immediate Joiners Preferred.Strong programming skills in C#, C++, C, Python, ReactGood understanding of Data StructuresHands-on experience in PLC, SCADA & DCS systemsExposure to platforms like:HoneywellSiemensAllen BradleyDeltaVYokogawaIEC 61131 Programming:Ladder LogicFunction Block Diagram (FBD)Structured TextReverse engineering of PLC/DCS logic behaviorsUnderstanding of Client-Server Architecture & DCOMStrong troubleshooting and customer interaction skillsGood to have:Commissioning experienceIntel Fortran knowledge

Key Responsibilities Design, develop, and maintain scalable data pipelines and ETL/ELT workflows. Build and optimize data ingestion processes from multiple structured and unstructureddata sources. Develop robust data models and data warehouses for analytics and reporting. Design and optimize SQL queries for high-performance data processing. Build and maintain data lakes using cloud storage solutions. Implement data validation, cleansing, transformation, and quality checks. Integrate data solutions with cloud platforms such as AWS, Azure, or Google CloudPlatform. Develop batch and real-time data processing pipelines using modern data processingframeworks. Collaborate with data scientists, analysts, and application teams to deliver reliable datasolutions. Follow software engineering best practices, including Git, CI/CD pipelines, testing,monitoring, and technical documentation.Required Skills 5+ years of experience in Data Engineering. Strong programming experience in Python. Hands-on experience with PySpark and Apache Spark. Advanced SQL skills, including query optimization and performance tuning. Experience with AWS services/ Azure/ GCP. Experience building scalable ETL/ELT pipelines. Strong exp in Generative AI and Large Language Models (LLMs) Knowledge of data warehousing concepts and dimensional modeling. Experience working with large-scale distributed datasets. Familiarity with Git and CI/CD pipelines. Understanding Agile/Scrum methodologies.Preferred Qualifications Experience with Apache Airflow or similar workflow orchestration tools. Knowledge of Kafka and real-time data streaming. Familiarity with Docker, Kubernetes, and Terraform (IaC). Exposure to Databricks and modern data lake technologies (Delta Lake, Apache Iceberg,or Apache Hudi). Understanding data governance, metadata management, and CI/CD practices. Strong exp in Generative AI and Large Language Models (LLMs) Strong analytical, problem-solving, and communication skills.Qualifications Bachelor's degree in computer science, Information Technology, Engineering, or relatedtechnical discipline.

Job Description:We are seeking a electrical automation engineer for our product development department, the ideal candidate should have hands on experience in designing and developing electrical systems like component selection, control panel, testing and product validation that form the foundation of physical automation machinery.Key Responsibilities:Design and develop electrical systems, wiring diagrams and control schematics for the product.Knowledge of electrical components such as contractors,relays,mcbs,sensors, Plc,HMI systems.Knowledge of load calculations and size of cable, single line drawing on AutoCAD.Hands of experience on beckhoff software for PLC programming.Hands of experience on software programming, testing, integration and troubleshooting process also.Candidates from product based company or Automation company are eligible.Btech - Electrical candidates, Immediate joiners are given preference.

We are looking for a motivated Data Engineer to join our team in Chennai. This entry-level position is ideal for those with a passion for data and technology, providing an excellent opportunity for fresh graduates or those with minimal experience.Key responsibilities include developing and maintaining data pipelines. You will work on ensuring efficient data collection and storage systems are in place. Collaborating with data analysts and other stakeholders to understand their data needs is vital. This collaboration will help you design and implement robust solutions that support various projects. Another important responsibility is monitoring and optimizing existing data infrastructure. You will regularly check the performance of data systems and make improvements to ensure they run smoothly. Keeping documentation up to date will also be part of your job, as clear records are essential for team collaboration.Successful candidates should have a basic understanding of data engineering principles, including data modeling and ETL (Extract, Transform, Load) processes. Familiarity with programming languages, such as Python or SQL, is essential. A keen eye for detail and problem-solving skills will help you thrive in this role. You should be eager to learn and grow in a fast-paced environment, ready to tackle new challenges in your data engineering career. This full-time position requires you to work from our office, where teamwork and collaboration are key to achieving our goals.Contact number:8608770336

As an AI Engineer in Pune, you will be responsible for developing and implementing AI models and algorithms to solve complex problems. You will work closely with cross-functional teams to create innovative solutions that enhance the company's products and services.Key Responsibilities:- Develop AI Models: Create and deploy machine learning models that meet project requirements, utilizing frameworks like TensorFlow or PyTorch.- Data Analysis and Processing: Analyze large datasets to extract insights and preprocess data to ensure it is suitable for training AI models.- Collaborate with Teams: Work with software engineers and data scientists to integrate AI solutions into existing systems, ensuring seamless functionality.- Performance Tuning: Regularly evaluate the performance of AI models and tune them for better accuracy and efficiency based on feedback and evolving data.- Stay Updated on Trends: Keep abreast of the latest developments in artificial intelligence and machine learning to continually improve processes and techniques.Required Skills and Expectations:- A bachelor's or master's degree in Computer Science, Data Science, or a related field is essential.- A minimum of 3 to 5 years of experience in AI or related fields, demonstrating a strong understanding of machine learning concepts.- Proficiency in programming languages such as Python or Java, along with experience in machine learning libraries and tools.- Strong analytical skills with the ability to interpret data and provide actionable insights.- Excellent communication skills to explain complex AI concepts to non-technical stakeholders and collaborate effectively with teams.

We are looking for a skilled L1 Network Security Engineer to join our team in Mahape. This role requires a strong focus on protecting our network and ensuring the integrity of our information system. Key Responsibilities:- Monitor Network Traffic: Regularly check network activity to identify any unauthorized access or anomalies that may signal security threats.- Security Incident Response: Respond to security incidents promptly, analyzing and resolving issues to minimize damage and prevent future occurrences.- Firewall Management: Configure and manage firewalls to ensure they protect the network while allowing legitimate traffic through without disruption.- Vulnerability Assessment: Conduct regular assessments to identify vulnerabilities in systems and networks to patch or secure potential risks.- Documentation and Reporting: Maintain clear documentation of security incidents, policies, and procedures, and create reports to inform management of security status.Required Skills and Expectations:Candidates should have 3 to 9 years of experience in cybersecurity, specifically in network security. A strong understanding of network protocols and security technologies, such as firewalls, VPNs, and intrusion detection systems, is essential. Certified professionals (e.g., CCNA, CEH) are preferred. The ideal candidate should have excellent problem-solving skills and the ability to think critically under pressure. Strong communication skills are necessary to effectively report incidents and collaborate with team members. A proactive attitude toward learning new technologies and methods in cyber defense is expected. This is a full-time position, and the work location is office-based.

We are looking for a Data Engineer with 9 to 15 years of experience to join our team in Chennai. This role offers the flexibility of working from home. The successful candidate will play a crucial role in managing and optimizing data pipelines to support our data-driven decision-making processes.Key Responsibilities:- Data Pipeline Development: Design and create efficient data pipelines to ensure seamless extraction, transformation, and loading (ETL) of data from various sources.- Data Management: Manage large sets of data, ensuring their accuracy, privacy, and security throughout the entire data lifecycle.- Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand their data needs and provide the necessary data solutions.- Performance Optimization: Monitor and optimize the performance of existing data systems and processes for improved efficiency and scalability.- Documentation: Maintain clear and comprehensive documentation of data processes and architecture for future reference and compliance.Required Skills and Expectations:The ideal candidate should possess strong programming skills, especially in Python or Java, and have experience with SQL and NoSQL databases. Familiarity with data warehousing tools and cloud platforms such as AWS or Azure is expected. Candidates should be adept in using ETL tools and have knowledge of data modeling techniques. Strong analytical and problem-solving skills are crucial, along with the ability to work independently and communicate effectively with team members and stakeholders. The candidate should demonstrate a proactive approach to learning new technologies and methodologies in the data engineering field.

We are looking for a highly skilled Senior Data Engineer with strong expertise in Google Cloud Platform (GCP), Apache Beam/Dataflow, Java, and BigQuery. The ideal candidate will be responsible for designing, building, and optimizing scalable data pipelines and cloud-based data processing solutions for enterprise applications. Key Responsibilities Design and develop scalable ETL/ELT pipelines using GCP services. Build and maintain real-time and batch data processing pipelines using Dataflow and Apache Beam. Develop robust backend processing solutions using Java. Work extensively with BigQuery for data warehousing, analytics, and performance optimization. Integrate data from multiple sources including APIs, databases, and streaming platforms. Optimize pipeline performance, cost, scalability, and reliability on GCP. Collaborate with cross-functional teams including Architects, Analysts, DevOps, and Business stakeholders. Ensure data quality, governance, monitoring, and security best practices. Troubleshoot production issues and provide long-term scalable solutions. Required Skills Strong hands-on experience with GCP services. Expertise in Google Dataflow / Apache Beam. Strong programming skills in Java. Hands-on experience with BigQuery. Experience in building batch and streaming data pipelines. Good knowledge of SQL and data modeling concepts. Experience with CI/CD, Git, and Agile methodologies. Strong problem-solving and debugging skills. Good to Have Experience with Pub/Sub, Cloud Composer, Cloud Storage, Dataproc, or Kafka. Exposure to Python or Spark. Experience in handling large-scale enterprise data platforms. Preferred Qualifications Bachelors/Masters degree in Computer Science, Engineering, or related field. GCP certifications are an added advantage.

We are looking for a highly analytical Lead Process Engineer to drive operational excellence and process transformation within lending operations. The role involves leveraging advanced statistical methods, process intelligence, and AI-assisted tools to improve efficiency, reduce variation, and enable scalable business operations. This position also includes mentoring junior team members while collaborating with cross-functional stakeholders.Key Responsibilities:Lead end-to-end process improvement initiatives using DMAIC methodologyApply statistical analysis, DoE, and SPC techniques to enhance process performanceDesign and optimize operational workflows across lending value streamsBuild and maintain process intelligence dashboards for real-time insightsConduct FMEA-based risk assessments and implement mitigation strategiesDrive AI-assisted process improvements using GenAI tools and automation frameworksPerform capacity forecasting and time series modeling for scaling operationsCollaborate with Product, Data, and Operations teams for transformation initiativesPresent ROI-driven insights and business cases to senior stakeholdersMentor and develop Process Analysts and Junior EngineersRequired Skills & Qualifications:7-9 years of experience in process engineering, quality engineering, or operations improvementStrong expertise in Lean Six Sigma methodologies (DMAIC execution experience mandatory)Hands-on experience in statistical tools: DoE, SPC, regression, hypothesis testingExperience with process mining / intelligence tools (Power BI, Celonis, etc.)Proven experience in FMEA and risk assessment frameworksStrong capability in capacity planning and time series forecastingExposure to AI/GenAI tools in operational environmentsProficiency in Excel (advanced), Python or Minitab, and data visualization toolsStrong stakeholder management and communication skills

We are looking for a highly experienced Python Architect to design and lead large-scale, enterprise-grade Python solutions for AI, data, and analytics platforms. The role requires deep hands-on expertise in Python across architecture, development, and production systems, supporting end-to-end AI and data-driven solutions.Key Responsibilities:Architect scalable, high-performance systems using Python as the core technologyDefine technical architecture for AI, data engineering, and analytics platformsLead design and development of microservices, APIs, and backend frameworks in PythonEnsure production-ready implementations with strong focus on performance, security, and reliabilityCollaborate with data science, ML, DevOps, and product teams to operationalize AI solutionsEstablish coding standards, best practices, and architectural guidelinesReview code, mentor senior engineers, and provide technical leadershipDrive innovation and continuous improvement in Python-based system designRequired Skills & Qualifications:1218 years of experience working fully and extensively in PythonStrong expertise in Python system architecture and large-scale backend designExperience supporting AI/ML, data engineering, or analytics platformsSolid understanding of microservices, REST APIs, and distributed systemsHands-on experience with cloud platforms (AWS/Azure/GCP)Strong problem-solving skills and ability to lead complex technical initiativesExcellent communication and stakeholder collaboration skills

As a Senior Biomedical Engineer in Australia, you will play a key role in developing and testing medical equipment and devices. Your responsibilities will include designing and implementing new technologies, conducting experiments and analysis to improve existing products, and ensuring regulatory compliance.Key responsibilities:- Designing and developing medical devices: You will be responsible for creating new medical equipment and devices that meet industry standards and regulations.- Testing and analysis: You will conduct experiments and tests to verify the functionality and safety of medical devices.- Regulatory compliance: You will ensure that all products meet the necessary regulatory requirements for safety and effectiveness.Required skills and expectations:- A graduate degree in Biomedical Engineering or a related field- 3-9 years of experience in the medical device industry- Strong technical skills in designing and testing medical equipment- Knowledge of regulatory requirements for medical devices- Excellent problem-solving abilities and attention to detail.

We are looking for a Data Scientist with 3 to 5 years of experience to join our team in Pune. The ideal candidate will be responsible for analyzing complex data sets to help drive business strategies and decisions.- Data Collection and Preparation: Gather and clean large data sets from various sources. This involves ensuring that the data is accurate and ready for analysis.- Data Analysis: Use statistical methods to interpret data and identify trends. This will help the business understand patterns and make informed decisions.- Model Development: Build predictive models using machine learning techniques. The models will be used to forecast outcomes and enhance business strategies.- Visualization: Create visual representations of data findings. Use tools and software to present data in a clear and engaging way to stakeholders.- Collaboration: Work closely with cross-functional teams, including engineers and business analysts. This collaboration is essential for integrating data insights into projects and strategies.- Continuous Learning: Stay updated with the latest data science trends and tools. This will ensure that the application of methods and technologies remains relevant and effective.The ideal candidate should possess strong programming skills in languages such as Python or R, experience in working with databases, and proficiency in statistical analysis. Strong problem-solving skills, attention to detail, and effective communication abilities are crucial for conveying complex data insights to non-technical audiences. A passion for data-driven decision-making and a proactive approach to challenges are expected.

Databricks Developer Experience: 6-10 YearsLocation: BangaloreHiring Company: Talent Zone ConsultantBrief JD:We are hiring a Databricks Developer with strong experience in data engineering, ETL development and building scalable data pipelines using Databricks and Apache Spark. The role involves data processing, transformation, integration and cloud-based data solutions.Key ResponsibilitiesDevelop scalable data pipelines using Databricks and PySpark.Build ETL/ELT workflows for structured and unstructured data.Work with Delta Lake, Spark SQL and Azure/AWS data services.Develop data transformations and optimize Spark jobs.Integrate data from multiple source systems.Perform data validation, quality checks and troubleshooting.Implement CI/CD and version control for data engineering solutions.Collaborate with data architects, analysts and business teams.Monitor and optimize data pipeline performance.Relevant SkillsetDatabricks, PySpark, Apache Spark, Python, Spark SQL, Delta Lake, ETL, ELT, Data Engineering, Azure, AWS, SQL, Data Pipelines, Data Warehouse, CI/CD, Git

Senior iOS Engineer Experience: 8-10 YearsLocation: BangaloreHiring Company: Talent Zone ConsultantBrief JD:We are hiring a Senior iOS Engineer with strong experience in designing, developing and maintaining high-quality iOS applications. The role involves application architecture, feature development, performance optimization and collaboration with cross-functional teams.Key ResponsibilitiesDevelop and maintain scalable iOS applications using Swift.Design application architecture and reusable components.Integrate REST APIs, SDKs and third-party services.Optimize application performance, stability and security.Implement unit testing and troubleshoot production issues.Collaborate with product, UI/UX, backend and QA teams.Participate in code reviews and maintain coding standards.Manage App Store releases and production deployments.Mentor junior developers and provide technical guidance.Relevant SkillsetSwift, iOS Development, UIKit, SwiftUI, Xcode, iOS SDK, REST API, JSON, Core Data, Cocoa Touch, Git, Firebase, Unit Testing, App Store, Mobile App Architecture

Key ResponsibilitiesDesign, develop, and deliver training programs in Data Science, Machine Learning, Artificial Intelligence, and related technologies.Conduct instructor-led classroom, virtual, and blended learning sessions.Create training materials, presentations, assignments, assessments, and project work.Teach programming concepts using Python, R, SQL, and other relevant tools.Train learners on data analysis, data visualization, statistical modeling, and predictive analytics.Guide students through real-world case studies, capstone projects, and practical exercises.Evaluate learner progress and provide constructive feedback and mentoring.Stay updated with emerging trends, tools, and best practices in data science and AI.Collaborate with academic, corporate, or training teams to improve course content and delivery methods.Support learners with career guidance, interview preparation, and portfolio development.

Required Qualifications : 3+ years of demonstrated ability with Hive, Python, Spark/Scala, SQL, etc. Google Cloud Platform Experience, Big Query, Cloud Storage, Dataproc, Data Flow, Cloud Composer, Cloud SQL, Pub Sub, Terraform, etc. Experience with Hadoop Ecosystem, Kafka, PCF cloud services Familiar with big data and machine learning tools and platforms Experience with BI tools, such as Alteryx, Data Stage, QlikSense, etc. Design data pipelines and data robots, take a vision and bring it to life Master data engineer; mentors others; works closely with IT architects to set strategy and design projects Provide extensive technical, and strategic advice and guidance to key stakeholders around the data transformation efforts Redesign data flows to prevent recurring data issues Strong analytical and problem-solving skills Possess excellent oral and written communication skills, as well as facilitationand presentation skills, and engaging presentation style. Ability to work as a global team member, as well as independently, in achanging environment and prioritize. Ability to establish and maintain coordinated and effective working relationships with application implementation teams, IT project teams, business customers, and end users. Ability to deliver work within deadlines. Experience with agile/lean methodologies Experience working independently and with minimal supervision Experience with Test Driven Development and Software Craftsmanship Experience with GitHub, Accurev, or other version-control systems Experience with Putty Experience with Datastage Strong Communications skills Ability to illustrate and convey ideas and prototypes effectively with team and partners Presence demonstrating confidence, ability to learn quickly, influence, and shape ideas Key Skills Required - Data Engineer- Python / PySpark / Scala- SQL & Hive- Hadoop Ecosystem- Data Pipeline Design & ETL Development- Google Cloud Platform (BigQuery, Dataproc, Dataflow, Cloud Storage)- Kafka / Streaming Data Processing- Terraform (Infrastructure as Code)- DataStage or Similar ETL Tools- Version Control (GitHub or equivalent)- Agile Methodologies- Strong Analytical & Problem-Solving Skills- Stakeholder Collaboration & CommunicationNice to Have:- Cloud Composer, Cloud SQL, Pub/Sub- BI Tools (Alteryx, QlikSense)- Machine Learning Platform Exposure- Test Driven Development (TDD)- Mentoring & Technical Leadership

Job Title: Senior Data Engineer Experience: 5+ YearsLocation: Chennai (Hybrid)Budget: Up to 30 LPAJob SummaryWe are looking for a highly skilled developer with strong hands-on experience in Databricks, PySpark, Python/Java, Web Services, and SQL. The ideal candidate will work closely with architects, tech leads, and business teams to design, build, optimize, and support scalable data-driven solutions. This is a long-term role with a strong focus on performance, cost optimization, and production support.Key Responsibilities / Essential Job FunctionsUnderstand end-to-end system architecture and support operations through monitoring and dashboardsCollaborate with Architects and Tech Leads on solution design and implementationContinuously monitor and optimize system cost and performanceWork closely with Business Analysts on integration requirementsCoordinate with TCOE teams for defining test scenarios and supporting testing activitiesTroubleshoot performance and functional issues across environmentsDocument key technical decisions and maintain detailed design documentationHandle fast-paced project deliveries and support production issues as requiredQuickly learn and adapt to new technologies and frameworksEnsure prompt and effective communication with stakeholdersOther ResponsibilitiesCreate, document, and maintain project artifactsFollow industry standards, methodologies, and best practicesSafeguard company assets and sensitive information (PI)Report any suspected security or compliance issues promptlyAdhere to company compliance and governance policiesMaintain focus on customer service, efficiency, quality, and business growthCollaborate effectively with cross-functional teamsPerform other duties as assignedMinimum Qualifications & Job RequirementsMinimum 5+ years of IT development experienceStrong analytical and problem-solving skillsProven experience in solution design, code reviews, and mentoring junior engineersStrong backend development experience on data-driven projectsExcellent SQL and database skillsStrong team player with good communication skillsMandatory Technical SkillsPython / PySparkSQL / PL-SQLDatabricksJava or C#Preferred / Good-to-Have SkillsAzure CloudKafkaNode.jsAzure Data Factory