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Tier-1 brand, mid-level data engineer role in Bangalore increases candidate competition.
Strong Microsoft Fabric/Azure toolset requirement reduces transferability across non-Azure environments.
Multiple mandatory Azure, Fabric, Python, PySpark, SQL and Synapse requirements increase filter strictness.
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Design, implement, and optimize end-to-end ETL pipelines within Microsoft Fabric, including ingestion, multi-stage transformations, data loading, and delivery.
Collaborate with business analysts and data architects to translate requirements and design data models (star/snowflake schemas, OLAP cubes) aligned to application needs.
Maintain and improve ETL processes with rigorous testing, error handling, data validation, performance tuning, and uphold development standards using Azure DevOps tooling.
High proficiency with Microsoft Fabric ETL and related tools such as Azure Data Factory.
Strong SQL skills with hands-on experience in SQL Server, Azure SQL Database, and Synapse Analytics.
Proficiency in Python and PySpark for ETL development within Fabric notebooks and pipelines.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in advanced data engineering with a focus on warehousing and analytics data models (star/snowflake schemas) and OLAP cube design.
Skilled in scaling and optimizing large-scale data processing pipelines within Microsoft Fabric and Azure ecosystems.
Capable of working effectively in globally distributed teams, maintaining standardized development and testing practices, and collaborating closely with business and technical stakeholders.