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Strong brand, metro location, mid-level generalist data role with common skillset increases competition.
Core data engineering skills (Azure, SQL, Python) are broadly transferable across industries.
Explicit 4-6 years plus mandatory Azure Databricks/ADF/ETL skills make screening stringent.
Own end-to-end data engineering tasks using Azure Data Factory, Databricks, Data Lake, and SQL Data Warehouse to design and implement ETL pipelines.
Manage and process semi-structured and streaming data to support analytics use cases on Azure Synapse Analytics and related platforms.
Translate business requirements into functional specs for reporting and data processing applications, supporting Power BI integration when needed.
4-6 years of professional experience in data engineering or relevant field.
Hands-on experience with Azure Databricks, Azure Data Factory (ADF), Delta Lake, Azure Data Lake, SQL Data Warehouse, SQL, Python, and Cosmos DB.
Experience working with semi-structured data, streaming data, and Azure Synapse Analytics.
Not explicitly mentioned: formal degree, notice period, or location requirements.
Experienced in building scalable ETL pipelines within Azure cloud ecosystems and handling diverse data types including streaming and semi-structured data.
Capable of bridging technical and business needs by understanding requirements and delivering data solutions that enable reporting and analytics.
Some certification in Azure or demonstrated expertise with Azure Data Engineering tools to efficiently operate in Bosch’s enterprise environment.