Job Title: Senior Databricks Engineer
Location: Chennai (Nungambakkam)
Work Mode: Work from Office
Shift Timing: 6:30 AM – 3:00 PM (Middle East Shift)
Project Type: Middle East Client Project
Job Overview
We are looking for a Senior Databricks Engineer to support data quality, business logic standardization, and validation of AI/analytics outputs in a Databricks-based environment. The role focuses on ensuring accuracy, consistency, and governance of business metrics, KPIs, and generated insights through structured benchmarking and validation processes.
Key Responsibilities
- Curate, validate, and register sample SQL queries aligned with approved business logic
- Conduct peer reviews of SQL queries and business questions before publishing to Genie
- Develop and maintain reusable KPI definitions, business metrics, filters, and time intelligence expressions
- Maintain a centralized business logic and KPI library for consistent output generation
- Design and manage benchmark test cases covering key business scenarios and reporting requirements
- Execute structured benchmark testing after each tuning cycle and document outcomes
- Validate Genie-generated outputs against trusted reports, dashboards, and approved SQL queries
- Investigate, document, and resolve discrepancies between generated outputs and source systems
- Analyze performance gaps and recommend improvements for accuracy and response quality
- Maintain a structured tuning log including changes, rationale, outcomes, and approval status
- Monitor recurring failure patterns and collaborate with data and business teams for continuous improvement
Required Skills & Experience
- 3–4 years of experience in Data Engineering, Analytics Support, or related roles
- Strong SQL development and query optimization skills
- Hands-on experience with Databricks, Lakehouse architecture, and Unity Catalog
- Strong understanding of business KPIs, metrics, semantic layers, and data governance concepts
- Experience validating data across reports, dashboards, and source systems
- Strong analytical and problem-solving skills
- Experience in testing, benchmarking, and QA processes for data systems
- Ability to document business logic, test cases, and tuning outcomes clearly
- Strong stakeholder communication and requirement analysis skills.
Why Join Us?
- Opportunity to work on a cutting-edge Databricks-based analytics and AI validation project for a Middle East client
- Exposure to advanced data engineering practices, including Lakehouse architecture and Unity Catalog governance
- Hands-on experience in KPI standardization, data quality assurance, and GenAI/analytics output validation
- Work in a structured environment focused on benchmarking, tuning, and continuous improvement of data accuracy
- Strong learning opportunities in enterprise-scale SQL optimization and business intelligence frameworks
- Collaborative work culture with close interaction between data, business, and analytics teams
- Career growth in high-demand data engineering and cloud analytics domains
Pay: ₹600,000.00 - ₹1,200,000.00 per year
Benefits:
- Health insurance
- Provident Fund
Work Location: In person
