Role & responsibilities
Develop and maintain data ingestion and ETL/ELT pipelines.
Integrate data from multiple enterprise source systems.
Develop transformation and business logic for curated datasets.
Implement data validation and data quality checks.
Build reusable ingestion patterns for onboarding recent sources/customers.
Optimise SQL queries, pipelines and data processing performance.
Support deployment of pipelines across settings.
Troubleshoot data and pipeline issues.
Maintain technical and operational documentation.

Preferred candidate profile

Must Have
5+ years of experience in Data Engineering / ETL development.
Robust SQL development skills.
Experience with MS Fabric and Azure data services.
Experience with relational databases and SQL data warehouses.
Experience integrating data from databases, files and APIs.
Good understanding of data quality and validation.
Experience building production-grade data pipelines.

Good to Have
Azure Data Factory.
Azure SQL / SQL Server.
Python.
Azure DevOps / CI-CD.
API integration.
CDC/incremental data loading.
Experience with ITSM platforms such as ServiceNow.

📌 Data Engineer Chennai
🏢 Saksoft
📍 Chennai