? We are Hiring: Senior Data Engineer – Databricks ? Location: Pune, India

? Experience: 6 – 8 Years

⏰ Employment Type: Full-time

About the Role

We are seeking an experienced Senior Data Engineer – Databricks to design, develop, and optimize scalable data platforms using the Databricks Lakehouse architecture.

In this role, you will build up-to-date data pipelines, implement Delta Lake best practices, and leverage cutting-edge Databricks capabilities. You will bring strong hands-on development skills, mentor junior engineers, and deliver enterprise-grade data engineering solutions on cloud platforms.

Key Responsibilities

- Design and build production data ingestion pipelines using Auto Loader (cloudFiles, schema inference, and evolution).
- Develop robust, declarative data pipelines using Delta Live Tables (DLT) / Spark Declarative Pipelines (SDP).
- Implement governance, permissions, and metastore management via Unity Catalog.
- Orchestrate multi-task workflows and complex jobs using Databricks Workflows.
- Perform large-scale data processing using PySpark and Spark SQL.
- Architect and optimize Delta Lake / Delta Tables for ACID transactions, schema enforcement, and versioning.
- Build or support AI/BI dashboards using Databricks SQL Dashboards, Genie, or similar BI tools.




- Collaborate across cloud storage architectures (Azure / AWS / GCP).

What We Are Looking For

- Work Experience: 6 to 8 years in Data Engineering.
- Core Tech Stack: Strong proficiency in PySpark, Spark SQL, Delta Lake, and Databricks Lakehouse architecture.
- Advanced Databricks Features: Hands-on expertise in Auto Loader, DLT/SDP, Unity Catalog, and Databricks Workflows.
- Data Warehousing: Solid grasp of dimensional modeling, star/snowflake schemas, data marts, and Slowly Changing Dimensions (SCD Type 1/2).
- Cloud Integration: Practical experience with AWS, Azure, or GCP cloud storage & security integrations.
- Location: Must be based in or willing to relocate to Pune.

Why Join Us?

- Work on modern enterprise-grade data solutions and AI/BI platforms.
- Collaborative engineering environment with clear growth and leadership opportunities.
- Competitive compensation package.

? How to Apply:

If you are passionate about building modern data platforms, apply directly or send your updated resume to [email protected]/ Call on 91-(phone hidden)].

#DataEngineering #Databricks #PySpark #PuneJobs #HiringDataEngineers #DeltaLake #UnityCatalog #AzureDatabricks #AWSDatabricks #TechJobsPune

📌 Databricks Engineer (Pune)
🏢 Talentmatics
📍 Pune