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Tier-1 brand, mid-level generalist Data Engineer in Bangalore with common Azure skills yields high candidate competition.
Data engineering skills on Azure are broadly transferable across industries.
Explicit 4–6 years requirement plus mandatory Azure Databricks, ADF, SQL and Python increases filter strictness.
Own the development and maintenance of data pipelines using Azure Data Factory and Azure Databricks for ETL processing.
Manage and optimize data storage and processing on Azure platforms including Data Lake, Synapse Analytics, and Data Warehouses.
Translate business requirements into functional specifications for reporting and data applications.
4-6 years of professional experience in data engineering or related field.
Proficient in Azure Databricks, Azure Data Factory (ADF), Azure Data Lake, Azure Synapse Analytics, SQL Data Warehouse, SQL, Python, and Cosmos DB.
Experience with semi-structured data and streaming data processing.
Hands-on ability to create ADF pipelines including copy activities and custom Azure developments.
Experienced in end-to-end Azure data platform implementation including Databricks, ADF, and Synapse Analytics.
Skilled in building scalable ETL pipelines and managing cloud-based data architecture.
Familiarity with Power BI and Azure certifications preferred but not mandatory.