Job Description
We are seeking a skilled Data Engineer with 5+ years of experience in data engineering, data warehousing, and ETL development. The ideal candidate should have strong hands-on experience in building, maintaining, and optimizing data pipelines and warehouse solutions. The candidate should have working knowledge of PL/SQL, strong hands-on experience with T-SQL, and solid understanding of Azure Data Factory (ADF), SSIS packages, Microsoft Fabric, Fabric pipelines, Data Lake concepts, ADLS, and other Azure big data technologies. This role requires someone who is strong in end-to-end data engineering, including data ingestion, transformation, warehousing, orchestration, and support of enterprise data solutions.
Key Responsibilities
Design, build, and maintain scalable data pipelines for data ingestion, transformation, and loading.
Develop, enhance, and support ETL/ELT jobs across multiple source and target systems.
Build and support pipelines using Azure Data Factory (ADF), SSIS packages, and Microsoft Fabric pipelines.
Work on data warehouse solutions, including staging, transformation, ODS, and target data models.
Develop and optimize T-SQL queries, stored procedures, functions, and scripts to support data processing and reporting needs.
Analyze source systems and map data into target warehouse and lakehouse structures.
Support data movement across databases, data lakes, cloud platforms, files, and external systems.
Ensure data quality, reconciliation, and consistency across pipelines and data stores.
Troubleshoot issues in ETL jobs, ADF pipelines, SSIS packages, Fabric pipelines, and warehouse processes.
Work with business and technical teams to understand data integration, reporting, and analytics requirements.
Create and maintain technical documentation for data flows, source-to-target mappings, transformation logic, and operational procedures.
Support deployment, testing, and production operations for data engineering solutions.
Follow established development standards, governance processes, and best practices.
Key Responsibilities
Design, build, and maintain scalable data pipelines for data ingestion, transformation, and loading.
Develop, enhance, and support ETL/ELT jobs across multiple source and target systems.
Build and support pipelines using Azure Data Factory (ADF), SSIS packages, and Microsoft Fabric pipelines.
Work on data warehouse solutions, including staging, transformation, ODS, and target data models.
Develop and optimize T-SQL queries, stored procedures, functions, and scripts to support data processing and reporting needs.
Analyze source systems and map data into target warehouse and lakehouse structures.
Support data movement across databases, data lakes, cloud platforms, files, and external systems.
Ensure data quality, reconciliation, and consistency across pipelines and data stores.
Troubleshoot issues in ETL jobs, ADF pipelines, SSIS packages, Fabric pipelines, and warehouse processes.
Work with business and technical teams to understand data integration, reporting, and analytics requirements.
Create and maintain technical documentation for data flows, source-to-target mappings, transformation logic, and operational procedures.
Support deployment, testing, and production operations for data engineering solutions.
Follow established development standards, governance processes, and best practices.
💡 Quick Summary
Seeking a career-building opportunity? The Associate Sr Data Engineer position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Ahmedabad offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.