We are looking for 4-7 years of experienced Data Engineer – Databricks to design and develop scalable data platforms using the Databricks Lakehouse architecture. The ideal candidate should have strong hands-on experience with PySpark, SQL, Delta Lake, Auto Loader, Spark Declarative Pipelines (DLT/SDP), Databricks Workflows, and Unity Catalog.

Key Responsibilities

- Robust proficiency in PySpark and SQL for large-scale data processing.
- Practical experience with Delta Lake / Delta Tables (ACID transactions, schema enforcement, versioning).
- Experience building ingestion pipelines with Auto Loader (cloudFiles, schema inference/evolution).
- Hands-on experience with SDP (Spark Declarative Pipelines / DLT) for building declarative data pipelines.




- Experience orchestrating pipelines with Databricks Workflows (jobs, tasks, triggers).
- Solid understanding of Unity Catalog for governance, permissions, and metastore management.
- Good grasp of data warehouse concepts — dimensional modeling, data marts, slowly changing dimensions.
- Experience building or supporting AI/BI dashboards (Databricks SQL Dashboards, Genie, or similar BI tools).
- Integrate Databricks with cloud storage and cloud-native services across Azure, AWS, or GCP.

📌 Data Engineer- Databricks (Pune)
🏢 Talentmatics
📍 Pune