We are seeking

6-8 years of experienced

Senior Data Engineer – Databricks to design, develop, and optimize scalable data platforms using the

Databricks Lakehouse architecture

. The ideal candidate will have deep expertise in building modern data pipelines, implementing Delta Lake best practices, and leveraging the latest Databricks capabilities including Auto Loader, Spark Declarative Pipelines (SDP/DLT), Databricks Workflows, Unity Catalog, and AI/BI features.

Key Responsibilities

- Strong 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.

- Valuable 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).

- Familiarity with cloud platforms (Azure/AWS/GCP) and cloud storage integration

📌 Databricks Data Engineer (Pune)
🏢 Talentmatics
📍 Pune