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.
Solid 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 (Positive 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