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Well-known employer, mid-level generalist data engineer in Bengaluru with broad Azure skills increases competition.
Standard Azure Databricks, ADF and ETL skills are readily transferable across industries.
Multiple mandatory Azure data stack skills and explicit 4-6 years requirement enforce strict screening.
Own end-to-end data engineering tasks involving Azure Databricks, Azure Data Factory (ADF), and data lake/warehouse solutions.
Develop and manage ETL pipelines and processes including copy activities and custom Azure development.
Translate business requirements into functional specifications for reporting applications, potentially involving Power BI.
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, SQL Data Warehouse, SQL, Python, Cosmos DB.
Prior knowledge of semi-structured data, streaming, Azure Synapse Analytics, data lake and data warehouse concepts.
Work Experience Required: 4-6 years relevant experience. Certification in Azure BE is good to have but not mandatory.
Experienced in managing Azure cloud-based data engineering platforms and able to handle large-scale data pipelines.
Comfortable working with semi-structured and streaming data, integrating multiple Azure data services.
Capable of converting business requirements into precise technical data solutions with reporting knowledge including Power BI.