Must have skills : Databricks Unified Data Analytics Platform

Positive to have skills : NA

Minimum 5 year(s) of experience is required

Educational Qualification : 15 years full time education

Summary:

As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture strategy.

AI Powered Tech Talent

Roles & Responsibilities:

Develop high-quality, scalable ETL/ELT pipelines using Databricks technologies including Delta Lake, Auto Loader, and DLT.

Excellent programming and debugging skills in Python.

Strong hands-on experience with PySpark to build efficient data transformation and validation logic.

Must be proficient in at least one cloud platform: AWS, GCP, or Azure.

Create modular dbx functions for transformation, PII masking,



and validation logic — reusable across DLT and notebook pipelines.

Implement ingestion patterns using Auto Loader with checkpointing and schema evolution for structured and semi-structured data.

Build secure and observable DLT pipelines with DLT Expectations, supporting Bronze/Silver/Gold medallion layering.

Configure Unity Catalog: set up catalogs, schemas, user/group access, enable audit logging, and define masking for PII fields.

Enable secure data access across domains and workspaces via Unity Catalog External Locations, Volumes, and lineage tracking.

Access and utilize data assets from the Databricks Marketplace to support enrichment, model training, or benchmarking.

Collaborate with data sharing stakeholders to implement Delta Sharing — both internally and externally.

Integrate Power BI/Tableau/Looker with Databricks using optimized connectors (ODBC/JDBC) and Unity Catalog security controls.

Build stakeholder

📌 Databricks Engineer (Pune)
🏢 Covetus
📍 Pune