Azure Data Engineer

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)

• Strong 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.