Description

Lead large-scale data engineering projects and coordinate technical delivery across product, architecture, and quality engineering teams.

Responsibilities

  • Coordinate technical delivery between Product Group, Architecture, Data Engineering, BSA, and QE teams.
  • Drive multiple data integration and warehousing projects in parallel.
  • Develop end-to-end ETL pipelines for batch and real-time data integration.
  • Design and implement data ingestion, preparation, and operationalization for structured and unstructured data.
  • Manage the full development lifecycle including coding, testing, debugging, and deployment.

Required Skills

  • 5+ years of experience in Data Warehousing, Data Integration, and Cloud Architecture.
  • Expertise in Azure, PySpark, and SQL.
  • Hands-on experience with Azure Databricks and Azure Synapse.
  • Proficiency in relational data processing using MS SQL, SQL Server, Spark SQL, and Delta Lake.
  • Experience building pipelines with Azure Data Factory.
  • Strong understanding of ETL/Data Warehousing methodologies and data modeling.
  • Experience with orchestration tools, Azure DevOps, and GitHub.

Preferred Skills

  • Experience with SAS.

Key Skills
Education

Any Gradute

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