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Tier-1 brand, Bengaluru metro, mid-level generalist data role with common Azure stack—high competition.
Azure-centric data engineering skills transfer across industries, but platform-specific experience raises moderate domain sensitivity.
Explicit 4–6 years plus mandatory Azure Databricks, ADF, SQL, Python skills increase shortlist strictness.
Build and manage Azure Data Factory pipelines for ETL processing including copy activity and custom Azure development.
Handle data engineering tasks using Azure Databricks, Azure Data Lake, SQL Data Warehouse, and Python focusing on semi-structured and streaming data.
Translate business requirements into functional specifications for reporting applications.
4-6 years of professional work experience in relevant data engineering roles.
Hands-on experience with Azure Databricks, Azure Data Factory (ADF), Delta Lake, Azure Synapse Analytics, Data Lake, Data Warehouse.
Proficient in SQL, Python, Cosmos DB, and creating ETL pipelines on Azure.
Knowledge of Power BI is beneficial but not mandatory.
Experienced in Azure cloud data engineering ecosystem with strong focus on implementing end-to-end ETL solutions.
Capable of aligning technical data solutions with business reporting needs through clear specification and execution.
Holds or is interested in obtaining Azure Azure Data Engineering certifications to validate expertise.