Unison Group
Senior Databricks Data Engineer
Bengaluru
- Salary
- Not stated
- Level
- Senior
- Work type
- Not stated
- Visa
- Not stated
Open. First seen 3 October 2026.
The team: Bharat HIRES STEADILY
This role is one of 20 open in Bharat. 18 were posted in the last 30 days and the oldest in March: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
SQL (19 of 20), Azure (13 of 20), Python (12 of 20), CI/CD (11 of 20), ETL (9 of 20), Spark (9 of 20), Git (8 of 20)
OTHER ROLES ON THIS TEAM
- Data Engineering Manager - Databricks & Lakehouse posted Oct 16
- Databricks Engineering Manager posted Oct 16
- Ontology Specialist - Data & AI posted Oct 16
- Ontology Specialist - Data & AI posted Oct 16
- SAP HANA CLOUD Consultant posted Oct 16
- Fullstack Developer posted Oct 14
- Low Code Engineer (OutSystems Platform) posted Oct 14
- Data Engineer (Quantexa) posted Oct 13
- Java Backend Developer (Microservices) posted Oct 12
- Java & Microservices Developer posted Oct 10
- Java & Microservices Developer posted Oct 10
- Java & Microservices Developer posted Oct 10
- Quantexa Data Engineer posted Oct 8
- Sr Data Engineer (Databricks) posted Oct 2
- Data Analyst/Business Analyst (SAP BW) posted Sep 25
- Lead Data Engineer (Banking) posted Sep 25
- Techanical Business Analyst - (SAP BW, Python, SQL, Power BI) posted Sep 22
- Senior Data Analyst - SAP BW/ECC, Databricks & BI posted Sep 8
- Business Development Manager - IT Consulting posted Mar 19
From the team and dates on Unison Group's own job board.
About the role
Interview - Face to face
Position Overview:
Build and maintain scalable data pipelines using Azure Databricks to support DATA & AI ACDP projects. Apply 3-4 years of experience to deliver reliable ETL processes and collaborate on data-driven insights.
Key Responsibilities:
- Design, build, and optimize data pipelines in Azure Databricks for ingestion, ETL/ELT, and transformations, implementing Medallion Architecture (Bronze, Silver, Gold) with Delta Lake for data quality and versioning.
- Utilize Databricks Spark (PySpark, SQL), Delta Live Tables, and Unity Catalog for pipeline development, governance, and basic streaming.
- Integrate data from ADLS Gen2, Azure SQL Database, and SQL Pools; support orchestration via Databricks workflows.
- Implement CI/CD in Azure DevOps for Databricks deployments, including Bicep templates and ADF integration.
- Apply data quality measures (expectations, constraints), security (RBAC, encryption), and monitoring for performance/cost efficiency using auto-scaling and Photon.
- Work with analysts and stakeholders to refine requirements into functional workflows; handle data cleansing, modeling, and Python/SQL scripting for structured/unstructured data.
- Troubleshoot pipelines and contribute to documentation/best practices.
Required Qualifications:
- 8 years in data engineering, focused on Azure Databricks pipelines and ETL
- Proficiency in PySpark, SQL, Python; experience with cloud storage and basic orchestration
- Familiarity with Azure fundamentals and collaborative tools
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