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Tier-1 brand, mid-level generalist data role, and Bangalore location drive high competition.
Azure-focused data engineering skills are moderately transferable across industries.
Explicit 4-6 years and mandatory Azure Databricks/ADF/Python skills raise shortlisting strictness.
Own and develop data engineering solutions using Azure services including Databricks, Data Factory, Data Lake, and Synapse Analytics.
Design and implement ETL pipelines and processing workflows for data ingestion and transformation, ensuring integration with data warehouse and reporting systems.
Translate business requirements into functional specifications for reporting and analytics applications.
4-6 years of professional experience in data engineering or a relevant field.
Hands-on experience with Azure Databricks, Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, SQL Data Warehouse, SQL, Python, and Cosmos DB.
Experience with semi-structured data, streaming data, and ETL pipeline development using Azure Data Factory.
Knowledge of Power BI is beneficial; certifications in Azure are a plus but not mandatory.
Proven ability to build and maintain complex data pipelines on Azure cloud platform leveraging Databricks and ADF.
Experienced in working with both batch and streaming data scenarios and converting business needs into technical solutions.
Comfortable handling data across data lake, data warehouse, and analytics environments with proficiency in Azure native tools.