Job Location: Chennai or Bangalore

Work mode: Hybrid

Experience: 5-8 years

Key Responsibilities

- Design, build, and maintain scalable data lake and data warehouse solutions.
- Develop robust ETL/ELT pipelines using Azure Data Factory, Databricks, Python, Informatica, and SnapLogic.
- Build and optimize data processing pipelines for batch and streaming workloads.
- Develop and maintain Snowflake data models, transformations, and performance optimizations.
- Collaborate with business stakeholders to translate requirements into scalable data solutions.
- Implement CI/CD pipelines and DataOps best practices using GitHub Actions or Azure DevOps.
- Ensure data quality, governance, monitoring, and observability across data platforms.
- Support production operations,



troubleshooting, incident management, and root cause analysis.
- Mentor junior engineers and contribute to architecture and design discussions.
- 5+ years of experience in Data Engineering.
- Robust experience with Azure cloud ecosystem.
- Hands-on experience with Snowflake and Databricks.
- Strong SQL development and performance tuning expertise.
- Experience building enterprise-scale data platforms and pipelines.
- Strong understanding of Agile/Scrum methodologies.
- Excellent communication and stakeholder management skills.

📌 Data Engineer (Chennai)
🏢 Bounteous
📍 Chennai