Key Responsibilities
- Design and develop robust ETL pipelines and data integration solutions on Azure.
- Build scalable cloud-native data engineering solutions.
- Write optimized SQL queries for complex business requirements.
- Develop and maintain Python-based data processing frameworks.
- Work with large-scale data processing using PySpark and Databricks.
- Collaborate with business and technology teams to deliver data-driven solutions.

Required Skills

*SQL & Python (Mandatory)*
- Robust SQL expertise.
- Experience with transformations, aggregations, and performance tuning.
- Strong Python programming skills for Data Engineering applications.

*Azure Data Services*

Hands-on experience with:
- Azure Data Lake Storage Gen2 (ADLS)
- Azure Data Factory (ADF)
- Azure Databricks
- Azure Synapse Analytics

*Data Engineering Technologies*
- Snowflake (Good to Have)
- ETL Development
- PySpark
- Databricks

Educational Qualification
- B.E. / B.Tech / M.E. / M.Tech / MCA / B.Sc. / M.Sc. (IT/CS)

Soft Skills
- Excellent communication and collaboration skills.
- Strong analytical and problem-solving capabilities.

📌 Azure Data Engineer (Mumbai)
🏢 AMS
📍 Mumbai