Lead II - Azure Data Engineer

Role Responsibilities:

1. Build and maintain scalable data pipelines using Azure and Databricks.
2. Develop data models and transformation scripts using DBT and SQL.
3. Optimize Snowflake warehouses for performance and cost-efficiency.
4. Automate ETL/ELT workflows and troubleshoot data integration issues.

Job Requirements:

1. 7–9 years of experience in data engineering with strong cloud expertise.
2. Hands-on with Azure Data Factory, Azure Data Lake, and Databricks.
3. Proficient in DBT, Snowflake schema design, and Python/Scala scripting.
4. Experience with Git, CI/CD, and Agile methodologies.