Databricks Engineer

• *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