ETL Tool Jobs

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.

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:- Design and manage data pipelines to transform and integrate structured and unstructured data.- Ensure high data quality and performance.- Support analytics, reporting, and business intelligence needs by preparing reliable data sets and models for stakeholders.- Collaborate with Analysts, Digital Project Managers, Developers, and business teams to ensure data accessibility and usefulness.- Enforce standards for data governance, security, and cost-effective operations.Ideal candidates will thrive in a collaborative, mission-focused environment and excel in ETL/ELT engineering. They should have experience building scalable data solutions using modern data engineering technologies that impact organizational outcomes.Required Qualifications:- Strong proficiency in Structured Query Language (SQL) and at least one programming language such as Python or Scala.- Hands-on experience developing ETL or ELT pipelines.- Experience with cloud-native data services (e.g., AWS Glue, AWS Redshift, Azure Data Factory, Azure Synapse, Databricks).- Good understanding of data modeling and data warehousing concepts.Desired Qualifications:- Design, build, and optimize scalable ETL or ELT pipelines handling both structured and unstructured data.- Ingest and integrate data from internal and external sources into data lakes or data warehouses.- Ensure that processed data is accurate, complete, and secure.Outcomes include well-documented, automated pipelines that support downstream analytics without bottlenecks or data errors.

Job Title: Technical Project Manager (Offshore) Location: Remote Engagement: Contract________________________________________Key Requirements:experience:o 5+ years in technical project managemento Minimum 2 years in data migration projectsTechnical Skills:o Strong hands-on experience with Snowflake .architecture, performance tuning, and data modelingo Solid understanding of ETL/ELT tools such as Informatica, dbt, etc.o Familiarity with cloud platforms: AWS, Azure, or GCPLeadership & Communication:

Job Description:We are seeking a highly skilled and experienced *Data Engineer* to help shape and scale our supply chain and operations analytics infrastructure. In this role, you will work closely with cross-functional teamsincluding Operations, Finance, and Analyticsto design, build, and monitor scalable, production-grade data pipelines. Your work will be critical to driving data-informed decisions across the business.---What Youll Do:- Develop and maintain automated ETL pipelines using Python, Snowflake SQL, and related technologies.- Ensure robust data quality through unit testing, validation, and continuous monitoring.- Collaborate with stakeholders to ingest and transform large healthcare datasets with accuracy and efficiency.- Leverage AWS services such as S3, DynamoDB, Batch, and Step Functions for data integration and deployment.- Optimize performance for pipelines processing large-scale datasets (1GB+).- Translate business requirements into reliable, scalable data solutions.---What You Bring:- 4+ years of hands-on experience as a Data Engineer or in a similar role.- Proven expertise in Python, SQL, and Snowflake for data engineering tasks.- Strong experience building and maintaining production-grade ETL pipelines.- Solid understanding of data validation, transformation, and debugging practices.- Prior experience with *healthcare or claims datasets* is highly preferred.- Practical knowledge of AWS technologies: S3, DynamoDB, Batch, Step Functions.- Experience working with large datasets and complex data environments.- Excellent verbal and written English communication skills.---Work Schedule:- Full-time remote* position (40 hours/week).- Working hours must align with U.S. Central Time Zone (CT).

About the RoleWe are looking for a highly skilled and experienced Senior Data Engineer to join our team in Hyderabad. The ideal candidate will bring strong technical expertise in building scalable data platforms and pipelines using modern technologies such as Python, Scala, AWS, Redshift, Terraform, Jenkins, and Docker. This role demands a hands-on professional who thrives in a fast-paced, collaborative environment and is eager to solve complex data problems.Key ResponsibilitiesDesign, build, and optimize robust, scalable, and secure data pipelines and platform components.Collaborate with data scientists, analysts, and engineering teams to ensure seamless data flow, integration, and availability across systems.Develop infrastructure as code using Terraform to automate provisioning and environment management.Manage containerized services and workflows using Docker.Set up, manage, and optimize CI/CD pipelines using Jenkins for continuous integration and deployment.Optimize performance, scalability, and reliability of large-scale data systems on AWS.Write clean, modular, and efficient code in Python and Scala to support ETL, data transformation, and processing tasks.Support data architecture planning and participate in technical reviews and design sessions.Must-Have SkillsStrong hands-on experience with Python, Scala, SQL, and Amazon Redshift.Proven expertise in AWS cloud services and ecosystem (EC2, S3, Redshift, Glue, Lambda, etc.).Experience implementing Infrastructure as Code (IaC) with Terraform.Proficient in managing and deploying Docker containers in development and production environments.Hands-on experience with CI/CD pipelines using Jenkins.Strong understanding of data architecture, ETL pipelines, and distributed data processing systems.Excellent problem-solving skills and ability to mentor junior engineers.Nice-to-HaveExperience working in regulated domains like healthcare or finance.Exposure to Apache Airflow, Spark, or Databricks.Familiarity with data quality frameworks and observability tools.

Job Description:Yrs of Exp : 10 + yrsMode : 3 days a weekLocation: BangaloreWork Type : PermanentKey ResponsibilitiesDesign and Development:Architect, implement, and optimize scalable data solutions.Develop and maintain data pipelines, ETL/ELT processes, and workflows to ensure the seamless integration and transformation of data.Collaboration:Work closely with data scientists, analysts, and business stakeholders to understand requirements and deliver actionable insights.Partner with cloud architects and DevOps teams to ensure robust, secure, and cost-effective data platform deployments.Data Management:Manage and maintain data lakes, data warehouses, and real-time analytics systems.Ensure high data quality, integrity, and security across the organization.Performance Optimization:Monitor and enhance system performance, troubleshoot issues, and implement optimizations as needed.Leverage Microsoft Fabrics advanced analytics and AI capabilities for innovative data solutions.Best Practices & Leadership:Lead and mentor junior engineers to foster a culture of technical excellence.Stay updated with industry trends and best practices, especially in the Microsoft ecosystem.Required:Bachelors or Masters degree in Computer Science, Data Engineering, or a related field.10+ years of experience in data engineering, with a proven track record of working on large-scale data platforms.Expertise in Microsoft Fabric and its components (e.g., Synapse, Data Factory, Azure Data Lake, Power BI).Strong proficiency in SQL, Python, and Spark.Experience with cloud platforms, particularly Microsoft Azure.Solid understanding of data modeling, data warehousing, and ETL/ELT best practices.Excellent problem-solving, communication, team management and project management skills.Preferred:Familiarity with other cloud platforms (e.g., AWS, GCP).Experience with machine learning pipelines or integrating AI into data workflows.Certifications in Microsoft Azure or related technologies.

Job Summary: We are seeking a Snowflake Data Engineer to join our Data & Analytics team. This role involvesdesigning, implementing, and optimizing Snowflake-based data solutions. The ideal candidate will haveproven, hands-on data engineering expertise in Snowflake, cloud data platforms, ETL/ELT processes,and Medallion data architecture best practices. The data engineer role has a day-to-day focus onimplementation, performance optimization and scalability. This is a tactical role requiring independentdata analysis and data discovery to understand our existing source systems, fact and dimension datamodels, and implement an enterprise data warehouse solution in Snowflake. This role will take directionfrom the Lead Snowflake Data Engineer and Director of Data Engineering for their work while bringingtheir own domain expertise and experience.Essential Functions and Tasks: Participate in the design, development, and maintenance of a scalable Snowflake data solution servingour enterprise data & analytics team. Implement data pipelines, ETL/ELT workflows, and data warehouse solutions using Snowflake andrelated technologies. Optimize Snowflake database performance Collaborate with cross-functional teams of data analysts, business analysts, data scientists, and softwareengineers, to define and implement data solutions. Ensure data quality, integrity, and governance. Troubleshoot and resolve data-related issues, ensuring high availability and performance of the dataplatform.Education and Experience Requirements: Bachelors or Masters degree in Computer Science, Information Systems, or a related field. 4+ years of experience in-depth data engineering, with at least 1+ minimum year(s) of dedicatedexperience engineering solutions in an enterprise scale Snowflake environment. Tactical expertise in ANSI SQL, performance tuning, and data modeling techniques. Strong experience with cloud platforms (preference to Azure) and their data services. Experience in ETL/ELT development using tools such as Azure Data Factory, dbt, Matillion, Talend, orFivetran. Hands-on experience with scripting languages like Python for data processing. Snowflake SnowPro certification; preference to the engineering course path. Experience with CI/CD pipelines, DevOps practices, and Infrastructure as Code (IaC). Knowledge of streaming data processing frameworks such as Apache Kafka or Spark Streaming. Familiarity with BI and visualization tools such as PowerBI.Knowledge, Skills, and Abilities: Familiarity working in an agile scum team, including sprint planning, daily stand-ups, backloggrooming, and retrospectives. Ability to self-manage medium complexity deliverables and document user stories and tasksthrough Azure Dev Ops. Personal accountability to committed sprint user stories and tasks Strong analytical and problem-solving skills with the ability to handle complex data challenges Ability to read, understand, and apply state/federal laws, regulations, and policies. Ability to communicate with diverse personalities in a tactful, mature, and professional manner. Ability to remain flexible and work within a collaborative and fast paced environment. Understand and comply with company policies and procedures. Strong oral, written, and interpersonal communication skills. Strong time management and organizational skills.Physical Demands: 40 hours per week Occasional Standing Occasional Walking Sitting for prolonged periods of time Frequent hand, finger movement Communicate verbally and in writing Extensive use of computer keyboard and viewing of computer screen Specific vision abilities required by this job include close vision

Role OverviewThis position requires a detail-oriented data engineer who can independently architect and implement data pipelines, while also serving as a trusted technical partner in client engagements and stakeholder meetings. Youll work hands-on with PySpark, Airflow, Python, and SQL, driving end-to-end data migration and platform modernization efforts across Azure and AWS.In addition to technical execution, youll contribute to sprint planning, backlog prioritization, and continuous integration/deployment of data infrastructure. This is a senior-level individual contributor role with direct visibility across engineering, product, and client delivery functions.Key ResponsibilitiesLead design and development of enterprise-grade data pipelines and cloud data migration architectures.Build scalable, maintainable ETL/ELT pipelines using Apache Airflow, PySpark, and modern data services.Write efficient, modular, and well-tested Python code, grounded in clean architecture and performance principles.Develop and optimize complex SQL queries across diverse relational and analytical databases.Contribute to and uphold standards for data modeling, data governance, and pipeline performance.Own the implementation of CI/CD pipelines to enable reliable deployment of data workflows and infrastructure (e.g., GitHub Actions, Azure DevOps, Jenkins).Embed unit testing, integration testing, and monitoring in all stages of the data pipeline lifecycle.Participate actively in Agile ceremonies: sprint planning, daily stand-ups, retrospectives, and backlog grooming.Collaborate directly with clients, stakeholders, and cross-functional teams to translate business needs into scalable technical solutions.Act as a technical authority within the teamleading architectural decisions and contributing to internal best practices and documentation.

Location: Guindy, Chennai, Tamil Nadu, IndiaExperience: 36 yearsReports To: BI ManagerJob Type: Full-timeKey Responsibilities Build and maintain scalable data pipelines and ETL processes for BI needs. Optimize data models and ensure clean, reliable, and well-structured data for Power BI. Integrate data from various internal systems (web apps, databases, accounting platforms). Collaborate with BI analysts and managers to meet reporting requirements. Automate data refreshes and performance-tune dashboards. Maintain metadata, data dictionaries, and lineage documentation.Required Skills Strong SQL development and performance tuning skills. Hands-on experience with Power BI dataset structuring and integration. Familiarity with Python for ETL, automation, or data cleaning tasks. Knowledge of APIs and scripting for data ingestion. Understanding of data warehousing and modelling techniques (star/snowflake schemas). Experience working with Azure, SSIS, or any cloud-based data services is a plus. Familiarity with version control systems like Git

Job Openings for 5 AWS Developer Jobs with minimum 8 Years Experience in Chennai, Pune, Greater Hyderabad, Delhi NCR, having Educational qualification of : Professional Degree with Good knowledge in AWS, ETL Consultant, ETL Tool etc.

Hello Everyone,Greetings!We are actively hiring a Data Engineer for our India team! If you or someone in your network is interested, please review the job details below and reach out to me at gaurav.sharma@cxdatalabs.com with you cv.Key Responsibilities:and optimize database data modeling with expertise in Azure Synapse, Azure DataFactory, and Databricks.data migration and modernization efforts within the Enterprise Data Lake.and implement data pipelines, ETL mappings, sessions, and workflows.data transformation, data modeling/mart creation, and scheduling coordination.closely with the Enterprise Information Management Team on data validation strategis, quality analysis, issue resolution, and unit testing.smooth release management and system integration.Qualifications & Skills Required:years of experience in Data Engineering, with a strong domain background in Clinical Research & Biopharmaceutical services.in data platforms and analytics systems, collaborating with Product Owners and stakeholders.in data modeling tools (ER Studio, Erwin) and cloud technologies.understanding of ETL processes, data quality management, and integration strategies.with Agile tools like Jira, Confluence, and Asana.problem-solving skills with the ability to identify areas for improvement and alignbusiness requirements.communication skills to proactively communicate integration changes in advance.If youre interested or have any referrals, please email me or message me directly.Looking forward to connecting!Best Regards,Gaurav Sharma#8802080222HR Operations PartnerCX Data Labs

we are in the lookout for a seasoned Cloud Data Lead. We are eager to connect with you if you have extensive experience in cloud platforms, data architecture, and leadership!

Knowledge of cloud data warehousing in Azure, AWS.Knowledge of RDBMS and data modellingWorking with different storage and files types.Proficiency in SQL for writing complex queriesManaging relational databases, and performing data operationsExperience with ETL (extract, transform, load) tools and data modelling

Invitation for B2B Partnerships: Seeking Software Development Support! We are looking to collaborate with companies that can provide 10 skilled Data Engineers to support our data engineering requirements pipeline for European clients on a contract basis.Requirements:Expertise in data engineering, including data processing and ETL.Proficiency in SQL and NoSQL databases.Experience with Hadoop or Spark.Experience in AWS or Azure.Snowflake is an added advantage.If your company is equipped to provide top-notch Data Engineers, we invite you to submit your proposal with terms and conditions.Please contact us by email or WhatsAppsrividya032001@gmail.com (or) 8884752389

Invitation for B2B Partnerships: Seeking Software Development Support! We are looking to collaborate with companies that can provide 10 skilled Data Engineers to support our data engineering requirements pipeline for Euoropean clients on a contract basis.Requirements:Expertise in data engineering, including data processing and ETL.Proficiency in SQL and NoSQL databases.Experience with Hadoop or Spark.Experience in AWS or Azure.Snowflake is an added advantage.If your company is equipped to provide top-notch Data Engineers, we invite you to submit your proposal with terms and conditions.Please contact us by email or Whatsapprakanalytics@gmail.com (or) 9900173022

Key Responsibilities:Database Design and Architecture:Design and implement SQL database structures to meet the organization's data storage and retrieval needs.Collaborate with software developers and stakeholders to understand data requirements and ensure efficient data modelling.Optimize schema design for data integrity, normalization, and performance.Database Performance Optimization:Identify and analyse performance bottlenecks and query optimization opportunities.Develop and implement strategies to improve database performance, including indexing, caching, and query optimization.Monitor and analyse database performance metrics, making recommendations for improvements.Query and Index Optimization:Analyse and optimize SQL queries to reduce execution times and resource consumption.Identify and create appropriate indexes to speed up data retrieval and processing.Provide guidance and best practices to application developers for writing efficient SQL queries.Data Migration and ETL:Plan and execute data migration and ETL processes, ensuring data integrity and performance.Optimize data transformation and loading processes for efficient ETL operations.Database Security:Implement and maintain database security measures to protect sensitive data.Audit and enforce data access controls and encryption as necessary.Backup and Recovery:Develop and maintain robust backup and recovery procedures to ensure data availability and integrity.Documentation and Training:Maintain detailed documentation of database structures, configurations, and performance optimization strategies.Provide training and knowledge transfer to team members and stakeholders as needed.Stay Informed:Stay up to date with the latest database technologies and trends to ensure the organization's databases remain competitive and efficient.

Core MySQL and MySQL Enterprise monitoring. Installation and configuration and upgradation of MySQL database. User access management for MySQL. Hands-on experience on Linux OS and familiar with basic Linux commands and shell scripts. Data migration, backup, restore & recovery, Resolving performance issues, blocking and deadlocks. Implement and Monitor MySQL Cluster to provide High Availability for mission critical events,database mirroring, replication and log shipping. Implement and maintain security and integrity controls including backup and disaster recoverystrategies for MySQL databases. Design and create database objects such as data table structures, stored procedures, views,Triggers, reports, Database Administration, Configuration, Maintenance and Support. Experience in DR Drill activities like switchover and failover. Knowledge of ETL tools like Pentaho Data Integration, Tableau etc Extensive work experience on query optimization, script optimization, other related optimization toolsand techniques including Performance monitoring. Develop, implement, and maintain change control of databases. Ensure all database systems meetbusiness and performance requirements, including patch management.

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.