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