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.
Robust 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