Job Title

Job Title: Senior Data EngineerExperience : 5+ years Location: Gurgaon /Pune / BangaloreSkills : Databricks , Delta Lake, PySpark , SQL Desired Skills and Experience: • 3–5 years of experience in data engineering, preferably with Azure Databricks. • Strong technical expertise in PySpark, SQL, and Delta Lake.• Familiarity with Unity Catalog, data governance, and DevOps practices (Git, CI/CD). • Ability to work independently as well as collaboratively within an agile delivery team. • Excellent problem-solving, debugging, and communication skills. Key Responsibilities: • Design, develop, and optimize data pipelines using Databricks, PySpark, Delta Lake, and related Azure components. • Work across pipeline development, data modeling, and production code optimization, ensuring scalability and performance. • Build new pipelines from scratch as well as enhance and maintain existing ones. • Apply strong understanding of ETL design principles, data modeling concepts, and data governance standards. • Collaborate within a scrum team, taking ownership of assigned stories while independently delivering high-quality, production-ready code. • Demonstrate proficiency across PySpark, SQL, Delta Lake, Unity Catalog, and Databricks Workflows, with solid understanding of logic and data flow. • Work in Azure environments, leveraging tools like ADLS, ADF, and Synapse (as applicable). • Contribute inputs to architecture and design discussions where appropriate, while primarily focusing on hands-on development. • Troubleshoot data issues, perform root-cause analysis, and optimize performance for existing pipelines.