Data Engineer Jobs

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

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.

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 seeking a data pipeline validation engineer with 3-6 years of experience in validating end to end data pipeline across Azure cloud and on premises environment. The ideal candidate should have hands on experience in validating data ingestion , transformations , processing and pipeline execution while ensuring data quality , integrity and business rule compliance.

We are looking for a skilled Data Engineer to join our growing team. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines and data infrastructure to support business intelligence, analytics, and data-driven decision-making. The candidate should have strong expertise in Python, SQL, ETL processes, cloud technologies, and modern data engineering practices.Location: IndoreExperience: 3-5 YearsKey ResponsibilitiesDesign, develop, and maintain scalable data pipelines for data ingestion, transformation, and integration.Build, optimize, and maintain data warehouses, data lakes, and relational databases.Ensure data accuracy, integrity, and consistency through validation and quality assurance processes.Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver effective solutions.Optimize database performance and manage large-scale datasets for efficient processing.Develop and maintain ETL/ELT workflows using industry-standard tools and best practices.Work with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).Utilize big data technologies including Apache Spark, Hadoop, and Kafka where applicable.Automate, schedule, and monitor workflows using Apache Airflow or similar orchestration tools.Implement data governance, security, and compliance standards.Troubleshoot and resolve data pipeline, database, and ETL-related issues.Stay updated with the latest trends and technologies in data engineering.Required SkillsProgramming & DatabaseStrong proficiency in Python (Pandas, NumPy)Excellent SQL skillsExperience with relational databases such as SQL Server, PostgreSQL, or MySQLData EngineeringStrong understanding of ETL/ELT conceptsHands-on experience with Azure Data Factory (ADF), SSIS, or similar ETL toolsExperience in designing scalable data pipelinesData ModelingEntity-Relationship (ER) DiagramsDimensional ModelingData NormalizationCloud & Big DataExperience with AWS, Azure, or GCPFamiliarity with Apache Spark, Hadoop, and KafkaKnowledge of Apache Airflow for workflow orchestrationGood to HaveExperience with Git and CI/CD pipelinesKnowledge of Docker or KubernetesExposure to Power BI, Tableau, or other BI toolsUnderstanding of data governance and security best practicesQualificationBachelor's degree in Computer Science, Information Technology, Engineering, or a related field.3-5 years of experience in Data Engineering or a similar role.How to ApplyInterested candidates can send their updated CV to chhabi.s@zecdata.com or contact 9039081253 for more information.

A Planning Engineer is the Strategic Mastermind Behind Project Execution. They Translate Blueprints Into Actionable, On-time, and Budget-conscious Schedules. By Forecasting Risks and Optimizing Resources, They Coordinate Cross-functional Teams to Keep Construction, Oil & Gas, or Manufacturing Projects Moving Efficiently Toward Successful Completion. Education: Bachelor's Degree in Civil Engineering, Mechanical Engineering, or Construction Management.

Requirement of Faculty for B.Tech Computer Science & Engineering (CSE) DepartmentThe Department of Computer Science & Engineering (CSE) requires qualified and competent faculty members to effectively conduct academic, laboratory, research, and mentoring activities of the B.Tech program. The department offers courses in core and emerging areas such as Programming, Data Structures, Database Management Systems, Operating Systems, Computer Networks, Artificial Intelligence, Machine Learning, Data Science, Cyber Security, Cloud Computing, and Internet of Things.The proposed faculty members shall be responsible for delivering lectures, conducting practical sessions, preparing course materials, evaluating student performance, guiding projects, and mentoring students. They will also contribute to curriculum development, research activities, industry interaction, innovation, and skill development programs. Faculty participation in accreditation processes, quality assurance activities, and university-related academic work is also essential.Candidates should possess qualifications as prescribed by AICTE and the affiliating university, with strong subject knowledge, effective communication skills, and a commitment to academic excellence. Preference may be given to candidates having research publications, industry experience, patents, funded projects, or expertise in emerging technologies.The appointment of additional faculty is necessary to maintain the prescribed student-faculty ratio, ensure effective teaching-learning processes, strengthen research and innovation activities, and support the overall academic growth and development of the B.Tech CSE Department.

Plan and allocate resources (personnel, equipment, materials) effectively to meet project requirements.Responsible for developing and implementing production plans, ensuring timely execution of projects, and managing resources to optimize manufacturing processes.Prioritization of work.Work with ERP systems, manage inventory, and collaborate with various teams to meet production goals.Manage raw material and spare parts inventory, optimizing stock levels to prevent shortages or overstocking.Plan and schedule the operation of machines and equipment used in the manufacturing process.Analyze machine shop and assembly shop capacities to ensure optimal resource utilization and balance workloads across departments.Machine planning with ERP system as per work order requirements.Machine planning with Inventory Control.Maintaining good quality of machine and components as per company standards.Preparation of costing sheets for individual machines and for projects for cost benefits and for healthy negotiation with vendors to get the higher discounts on existing costing.To put completion dates against each item on BOM printouts and inform the concerned to put the same on Job Cards, Indents, printouts for Purchase, etc.Raw material planning & inventory control.Spare material planning & inventory control.Knowledge of CNC, VMC, lathe, drilling, surface grinding machines, etc.

Database Analysts Design, Develop and Administer Data Management Solutions Using Database Management Software. Data Administrators Develop and Implement Data Administration Policy, Standards and Models. They are Employed in Information Technology Consulting Firms and in Information Technology Units Throughout the Private and Public Sectors.This Group Performs Some or all of the Following Duties:Database AnalystsCollect and Document User RequirementsDesign and Develop Database Architecture for Information Systems ProjectsDesign, Construct, Modify, Integrate, Implement and Test Data Models and Database Management SystemsConduct Research and Provide Advice to other Informatics Professionals Regarding the Selection, Application and Implementation of Database Management ToolsOperate Database Management Systems to Analyze Data and Perform Data Mining AnalysisMay Lead, Co-ordinate or Supervise other Workers in this Group.Data AdministratorsDevelop and Implement Data Administration Policy, Standards and ModelsResearch and Document Data Requirements, Data Collection and Administration Policy, Data Access Rules and SecurityDevelop Policies and Procedures for Network And/or Internet Database Access and Usage and for the Backup and Recovery of DataConduct Research and Provide Advice to other Information Systems Professionals Regarding the Collection, Availability, Security and Suitability of DataWrite Scripts Related to Stored Procedures and TriggersMay Lead and Co-ordinate Teams of Data Administrators in the Development and Implementation of Data Policies, Standards and Models.

As a Senior Data Engineer, you will be at the forefront of our data transformation, specifically architecting and building the next generation of our Financial Transaction Processing engine within Microsoft Fabric. You will lead the migration of legacy financial pipelines into a unified Lakehouse architecture, ensuring that every pence of revenue and every byte of roaming data is accounted for with 100% accuracy.This role requires a blend of high-level architectural design, hands-on pipeline engineering, and a deep understanding of telecom financial domains (billing, reconciliation, and inter-carrier settlements).Key ResponsibilitiesArchitectural Design: Lead the design and implementation of a Medallion Architecture (Bronze, Silver, Gold) within MS Fabric to handle high-velocity telecom transactions.Data Pipeline Engineering: Develop end-to-end ETL/ELT workflows using Fabric Data Factory, Spark Notebooks (PySpark), and Dataflows Gen2.Financial Migration: Lead the migration of legacy SQL-based financial workloads into Fabric Lakehouses and Warehouses, ensuring zero data loss and maintaining historical integrity.Configuration & Governance: Configure Fabric workspaces, capacities, and OneLake security. Implement rigorous data governance and Row-Level Security (RLS) to protect sensitive financial PII.Performance Optimization: Tune large-scale Spark jobs and SQL queries to process millions of Call Detail Records (CDRs) and financial events with minimal latency.Analytics & Reporting: Build high-performance Semantic Models and Direct Lake datasets for real-time financial reporting and margin analysis.Mandatory Skills & QualificationsTechnical ExpertiseMicrosoft Fabric: Expert-level knowledge of the Fabric ecosystem (Lakehouse, Eventhouse, Data Factory, and OneLake).Pipeline Development: Strong experience with Azure Data Factory or Fabric Pipelines, including complex orchestration and incremental loading patterns.Coding & Transformation: Advanced proficiency in PySpark/Python and T-SQL for complex financial logic (e.g., multi-currency conversion, tax calculations).Architecture: Deep understanding of Delta Lake, Star Schema modeling, and SaaS-based data platform design.DevOps: Hands-on experience with Git integration, CI/CD for Fabric items, and Azure DevOps deployment pipelines.Domain KnowledgeTelecom Finance: Familiarity with telecom-specific data such as CDRs, roaming settlements, prepaid/postpaid billing cycles, and Churn analytics.Financial Accuracy: Experience building automated reconciliation frameworks to catch revenue leakage or transaction mismatches.Required Experience8+ years in Data Engineering3+ years hands-on with Microsoft FabricProven experience delivering large-scale data migration programmes in UK telecom or retailStrong SQL & PySpark expertiseExperience with financial data reconciliation and ledger alignmentStrong stakeholder engagement across Finance, Billing, and Technology teamsExperience operating within UK enterprise governance frameworksPreferred ExperienceCertifications: DP-600 (Microsoft Fabric Analytics Engineer) or DP-203 (Azure Data Engineer).Legacy Knowledge: Experience migrating from on-prem SQL Server or older Azure Synapse environments.Real-Time Intelligence: Knowledge of KQL (Kusto) for monitoring real-time transaction streams.Skills to be evaluated onMicrosoft FabricAzure-Data-FactoryFabric-AnalyticsDatabricksMandatory Skills : Microsoft Fabric

Key Responsibilities:Build and manage data pipelines and ETL processesWork with large datasets using tools like Spark, Hadoop, or SQLEnsure data quality and performance optimizationRequirements:Experience in Python/SQLHands-on with ETL tools and big data technologiesUnderstanding of data warehousing conceptsBrief Summary:Develops scalable data systems to support analytics and business insights.

Key Responsibilities: Cloud EngineerDesign, implement, and manage CI/CD pipelinesAutomate deployments and infrastructure using tools like Terraform/AnsibleMonitor system performance and ensure high availabilityRequirements:Experience with AWS/AzureKnowledge of Docker, Kubernetes, and scriptingStrong problem-solving skillsBrief Summary:Responsible for automating and optimizing cloud infrastructure and deployment processes.

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.