Senior Data Developer

Dhristhi System Private Limited; Maharashtra; Presencial; INR 1.500.000 - 2.100.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance for you and your 가족

Learning budget for conferences and &s

Competitive salary with annual bonuses

Descripción de la vacante

Senior Data Developer at Dhristhi System Private Limited in Pune, India, will maintain an OLAP-based data warehouse while leading the build-out of a modern data platform on Databricks. The role requires strong SQL and dimensional modeling expertise, plus hands-on Databricks/Spark experience.

You will migrate legacy workloads to a cloud-native data stack, design scalable data pipelines, and collaborate with analytics, product, and engineering teams to deliver high-quality datasets.

Formación

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

Responsabilidades

• 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.

Conocimientos

Strong SQL & data modeling

5–8 years data engineering experience

Herramientas

Databricks & Spark

ETL/ELT patterns

OLAP / dimensional modelling

Data warehousing & data quality

Descripción del empleo

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