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IN_ Senior Associate _ Azure Fabric Engineer _Data and Analytics_Bangalore

PwC Asia

Job Description & Summary

We are seeking a skilled Looking for a skilled Microsoft Fabric / Azure Data Engineer with strong expertise in ADLS, ADF, Apache Spark, PySpark, and SQL.Looking for experience in building scalable, fault-tolerant data pipelines and implementing Medallion Architecture (Bronze, Silver, Gold).

Job Position Title

IN_ Senior Associate _ Azure Fabric Engineer _Data and Analytics_Bangalore

Responsibilities

  • Design, develop, and maintain scalable data pipelines using Azure Data Lake (ADLS), Azure Data Factory (ADF), Microsoft Fabric, and Apache Spark.
  • Build and optimize data processing solutions using Python (PySpark preferred).
  • Implement Medallion Architecture (Bronze, Silver, Gold layers) for structured data processing.
  • Develop restartable, fault-tolerant pipelines with robust audit and logging frameworks.
  • Develop and manage source control and CI/CD pipelines in Azure DevOps (ADO).
  • Write and optimize complex SQL queries, stored procedures, and data transformations.
  • Implement data modeling techniques (star schema, snowflake schema).
  • Ensure data quality, governance, and security.
  • Collaborate with cross-functional teams.
  • Troubleshoot performance issues.
  • Participate in modernization and migration of BI solutions to Microsoft Fabric architecture.
  • Creating semantic models, developing DAX queries, and building reports in Power BI Service..
  • Fine-tuning workspace capacities, monitoring job performance, and implementing robust security features.

Mandatory skill sets

  • Databricks/Notebooks, Azure Data Factory/Synapse pipelines, SQL, Python/PySpark, Delta/Parquet, Git CI/CD.

Preferred skill sets

  • Good to have: Microsoft Fabric (OneLake, Lakehouse, Dataflows Gen2, Pipelines), Power BI (Direct Lake), ADLS Gen2, performance tuning, security and cost optimization on Azure..

Years of experience required

  • 4 to 7 years

Education qualification

  • BE/ Btech/ Mtech/ MCA/ MBA (fulltime)