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 environments.
- Troubleshoot data and pipeline issues.
- Maintain technical and operational documentation.

Preferred candidate profile

Must Have

- 5+ years of experience in Data Engineering / ETL development.
- Strong 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