Senior Data Developer

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Data & AI

• Pune, India
• Full-time
  
  

Senior Data Developer

Posted 16 July 2026

We are looking for a Senior Data Developer to maintain our existing OLAP-based data warehouse while leading the build-out of a modern data platform on Databricks. The role requires strong experience with traditional OLAP and dimensional modelling, combined with hands-on expertise in modern data engineering, cloud, and Lakehouse concepts.

Key Responsibilities

• Maintain and support the current OLAP / data warehouse environment during the transition to the new platform
• Design, build, and optimize scalable data pipelines and data models on Databricks (Spark, Delta Lake, etc.)
• Migrate legacy ETL, reporting, and analytical workloads to a modern, cloud-native data stack
• Ensure data quality, reliability, and performance across both legacy and new environments
• Collaborate with analytics, product, and engineering teams to understand data requirements and deliver high-quality datasets
  
  

Required Skills & Experience

• Strong SQL and data modeling skills, including dimensional modeling and OLAP concepts
• Hands-on experience with Databricks and Spark for large-scale data processing
• Solid understanding of ETL/ELT patterns, data warehousing, and data quality practices
• Experience working in environments where legacy platforms coexist with modern data architectures
• 5–8 years of experience in data engineering / data development or similar roles
  
  

Nice to Have

• Experience with cloud data services (AWS Glue, Azure Data Factory, or similar)
• Familiarity with data governance and cataloging tools
• Exposure to real-time streaming or event-driven data pipelines
  
  

Benefits

• Small, sharp team with ownership, direct impact, and minimal bureaucracy
• Competitive salary with annual performance bonuses
• Learning budget for conferences and certifications
• Health insurance for you and your family
  
  

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