Job Title: Sr Databricks Engineer

Location: Bengaluru, Karnataka (Remote)

Hire Type: Permanent

Summary

We are looking for a seasoned Senior Data Engineer with solid Databricks expertise to contribute to the expansion of our enterprise Databricks data platform. The selected candidate will focus on integrating additional datasets, engineering scalable data pipelines, and building new business dimensions and measures within the existing Databricks ecosystem.

Key Responsibilities

Data Engineering &

- Development

Architect and build scalable data pipelines leveraging Databricks and Py Spark

Connect and incorporate additional data sources into the existing Databricks Lakehouse environment

Create and refine dimensional models, business dimensions, measures, and curated datasets for analytical use

Prepare, transform, and optimize data to support reporting, analytics, and downstream applications

Contribute to data quality initiatives, validation activities, monitoring, and performance tuning

Investigate and resolve platform-related issues throughout the project.

Platform &

- Data Management

Apply Databricks development, deployment, security, and governance best practices across solutions

Use Unity Catalog to address data governance and access control requirements

Build, package, and deploy solutions through Databricks Asset Bundles

Work closely with the project team to convert business and technical requirements into scalable data solutions.

Dev Ops &

- Automation





Establish and manage CI/CD workflows for data engineering components

Use Git Hub and/or Git Lab to manage source code, branching approaches, and peer code reviews

Contribute to automated deployment workflows and release management activities.

Required Skills

8+ years of professional experience in Data Engineering

4+ years of practical, hands-on experience with Databricks (required)

Strong proficiency with

Databricks

Py Spark

Python

SQL

Delta Lake

Unity Catalog

Databricks Asset Bundles

Databricks Security &

- Access Management

Proven experience designing and supporting enterprise-level ETL/ELT solutions

Extensive experience developing dimensional models, business dimensions, measures, KPIs, and analytical datasets

Hands-on experience developing and maintaining CI/CD pipelines

Strong background in source code management using Git Hub and/or Git Lab

Experience delivering solutions within cloud-based data environments

Strong verbal and written communication abilities.

Preferred Skills

Exposure to Fivetran or comparable cloud-based data ingestion solutions

Working knowledge of REST APIs and integrations with enterprise applications

Experience with Power BI or comparable enterprise business intelligence and reporting platforms

Background supporting AI, machine learning, or advanced analytics projects

Experience working with HR, Finance, or other enterprise business data domains.

📌 Sr Databricks Engineer (Bengaluru)
🏢 Kani Solutions
📍 Bengaluru