Senior Data Engineer (India)

📋 Description

• Architect, design, and implement end-to-end data solutions using Azure Databricks, PySpark, Azure
• Design, build, and maintain data pipelines from data sources through integration to consumption for
• Implement robust data modeling standards across bronze, silver, and gold layers in the data lake.
• Develop data models (conceptual, logical, and/or physical) as required.
• Optimize Spark and SQL workloads for performance, scalability, and cost efficiency.
• Manage metadata using data preparation, integration, and AI-enabled tools and techniques.

🎯 Requirements

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field (Master’s
• 5–8 years of experience designing and developing enterprise-scale data solutions (data warehouses
• Expert-level proficiency in Databricks, Azure Fabric, PySpark, SQL, and Azure DevOps.
• Proven experience with Azure Data Factory, ADLS Gen2, and Azure SQL Server.
• Strong experience with Microsoft Azure data management architectures including Data Warehouse, Data
• Experience with Power BI required; Tableau or Looker a plus.