Role Responsibilities :
- Build and maintain scalable data pipelines using Azure and Databricks.
- Develop data models and transformation scripts using DBT and SQL.
- Optimize Snowflake warehouses for performance and cost-efficiency.
- Automate ETL/ELT workflows and troubleshoot data integration issues.
Job Requirements :
- 7–9 years of experience in data engineering with solid cloud expertise.
- Hands-on with Azure Data Factory, Azure Data Lake, and Databricks.
- Proficient in DBT, Snowflake schema design, and Python/Scala scripting.
- Experience with Git, CI/CD, and Agile methodologies.
📌 Lead II (Bengaluru)
🏢 UST
📍 Bengaluru