Lead Consultant- Databricks Developer !

Ready to shape the future of work?  

At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges.  

If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment.  

Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. 

Inviting applications for the role of Lead Consultant- Databricks Developer !    

In this role, the Databricks Developer is responsible for solving the real world cutting edge problem to meet both functional and non-functional requirements. 

Responsibilities

• Design and develop scalable data pipelines using Databricks (PySpark/SQL/Delta Live Tables). 
• Implement ETL/ELT frameworks leveraging the Lakehouse (Bronze, Silver, Gold) architecture. 
• Implement and manage data governance using Unity Catalog to ensure secure access, compliance, and centralized management of data, users, and permissions across the Databricks Lakehouse. 
• Optimize data models, queries, and workflows for scalability, cost, and performance. 
• Act as Databricks SME and provide guidance on best practices, governance, and security. 
• Mentor junior developers, review code, and enforce coding standards. 
• Integrate Databricks with cloud storage, APIs, warehouses, and BI tools. 
• Implement orchestration using ADF, Airflow, Step Functions, or Databricks Workflows. 
• Build reusable accelerators and frameworks for ingestion, transformation, and monitoring. 
• Enable data quality, validation, and reconciliation (using tools like Great Expectations or custom). 
• Set up monitoring, logging, and alerting dashboards for pipeline health. 
• Collaborate with business stakeholders, architects, and analysts to deliver solutions. 
• Support migration of legacy pipelines into Databricks Lakehouse. 
• Contribute to architectural decisions, POCs, and innovation initiatives. 
• Qualifications we seek in you!  

Minimum Qualifications

• Bachelor’s degree (CS, CE, CIS, IS, MIS, Engineering) or equivalent work experience. 
• Experience in data engineering with at least  Databricks experience. 
• End-to-end implementation of at least 2 Databricks projects(migration/integration). 
• Strong background in batch and streaming data pipelines. 
• Proficiency in Python (preferred) or Scala for Spark-based development. 
• Expertise in SQL & Spark-SQL, data structures, and algorithms. 
• Deep knowledge of Databricks components: Delta Lake, DLT, dbConnect, REST API 2.0, Workflows orchestration. 
• Strong in performance optimization for pipelines (efficiency, scalability, cost reduction). 
• Hands-on experience with Apache Spark, Hive, and Lakehouse architecture. 
• Cloud expertise (Azure/AWS) includes storage (ADLS/S3), messaging (ASB/SQS), compute (ADF/Lambda), and databases (CosmosDB/DynamoDB/Cloud SQL). 
• Experience writing unit tests and integration tests for data pipelines. 
• Ability to work with architects and lead engineers to design solutions meeting functional & non-functional requirements. 
• Team player with experience in teams of 5+ engineers. 
• Strong communication and client-facing skills. 
• Keeps updated with emerging technologies and industry trends. 
• Strong analytical and problem-solving abilities. 
• Positive attitude towards continuous learning and upskilling 
• Good to have Databricks SQL Endpoint understanding. 
• Good to have understanding on LakeflowConnect, Lakeflow Declarative Pipelines 
• Good To have CI/CD experience to build the pipeline for Databricks jobs. 
• Good to have if worked on migration project to build Unified data platform. 
• Good to have knowledge of DBT. 
• Good to have knowledge of docker and Kubernetes. 
• Certification on Databricks Associate level. 
• Any one Cloud Certification (AWS/Azure) Practitioner or Associate Level 

Why Join Genpact?

Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation  

Make an impact – Drive change for global enterprises and solve business challenges that matter  

Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities  

Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day  

Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress  

Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up.  

Let’s build tomorrow together.  

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, colour, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.   
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.