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Well-known MNC, mid-level Azure Data Engineer in Bangalore attracts many applicants across similar skill profiles.
Requires Azure Databricks/ADF expertise, making cross-industry transfer moderately constrained.
Mandatory 4-6 years and specific Azure Databricks/ADF/Python/SQL stack makes shortlisting stringent.
Develop and maintain Azure Data Factory (ADF) pipelines for ETL processing including copy activities and custom Azure development.
Work hands-on with Azure Databricks, Delta Lake, Azure Synapse Analytics, Data Lake, and Data Warehouse to manage and process semi-structured and streaming data.
Translate business requirements into functional specifications for reporting applications, supporting data engineering efforts.
4-6 years of professional experience in data engineering or related field.
Proficient with Azure Databricks, Azure Data Factory (ADF), Delta Lake, Azure Synapse Analytics, Azure Data Lake, SQL Data Warehouse, SQL, Python, Cosmos DB.
Experience with ETL pipeline development and data processing in Azure environment.
Knowledge of semi-structured data and streaming data handling.
Experienced with end-to-end Azure data engineering solutions focusing on ETL and big data pipelines.
Comfortable working with a mix of data storage and analytics services like Azure Synapse, Delta Lake, and Cosmos DB for scalable data architectures.
Ability to convert business requirements into technical design for reporting and data consumption frameworks.