Data Engineering · Bengaluru

Required Qualifications & Skills Experience:

• 12+ years of experience in data architecture, data engineering, or a similar role, with at least 3+ years of hands-on experience in Azure.

• Cloud Expertise: Proven experience with Microsoft Azure data services (e.g., Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure SQL DB).

• Microsoft Fabric (Crucial): Hands-on experience with Microsoft Fabric is essential.

• This must include:OneLake: Understanding of the OneLake architecture and its role as a unified data lake.

• Fabric Warehousing: Experience building and managing data warehouses within the Fabric environment.

• Fabric Pipelines & Dataflows: Proficiency in building ETL/ELT pipelines using Fabric's native tools.

• Spark in Fabric: Experience developing and troubleshooting Spark Jobs.

• Databases: Strong proficiency in Azure PostgreSQL and/or Azure SQL Server, including performance tuning, security, and management.

• Power BI: Extensive experience architecting the data backend for Power BI, including designing semantic models and optimizing for performance.

• Programming/Scripting: Proficiency in SQL (advanced required), PySpark/Spark SQL, and Python. Experience with PowerShell for automation is a plus.

• Data Modeling: Strong knowledge of data modeling principles (e.g., Star Schema, Kimball, Data Vault).

• Problem-Solving: Excellent analytical and problem-solving skills with the ability to design solutions for complex business requirements.

Qualifications

Preferred Qualifications

• Microsoft Azure certifications (e.g., DP-203: Data Engineer Associate, DP-500: Azure Enterprise Data Analyst Associate).

• Microsoft Fabric-specific certification or proven coursework.

• Experience with other ETL tools and legacy data warehouse systems.

• Knowledge of data governance tools like Microsoft Purview.