Application Developer – Snowflake / Databricks / Python / SQL

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. Position Summary We are seeking a highly motivated Application Developer with strong expertise in Snowflake, Databricks, Python, and SQL to design, develop, and support scalable data and analytics solutions. The ideal candidate will have experience building data pipelines, optimizing large-scale data processing workloads, and developing cloud-native applications that support business-critical reporting, analytics, and operational processes. Key Responsibilities Design, develop, and maintain scalable data solutions using Snowflake and Databricks. Build and optimize ETL/ELT pipelines for structured and unstructured data processing. Develop high-quality Python applications, automation scripts, APIs, and data integration services. Write complex SQL queries, stored procedures, views, and performance-tuned data transformations. Implement data models, data quality controls, validation frameworks, and reconciliation processes. Collaborate with business analysts, data engineers, architects, and application teams to deliver end-to-end solutions. Monitor, troubleshoot, and optimize data pipelines and application performance. Support CI/CD deployments, testing, release management, and production support activities. Ensure solutions meet security, governance, audit, and regulatory requirements. Contribute to cloud modernization initiatives and data platform enhancements. Required Skills & Qualifications Technical Skills Strong experience with Snowflake Data Cloud. Hands-on experience with Databricks and Apache Spark. Advanced Python programming skills (Pandas, Pyspark, NumPy, REST APIs). Expert-level SQL development and query optimization. Experience building ETL/ELT solutions and data pipelines. Good understanding of data warehousing, dimensional modeling, and data lake architecture. Experience with cloud platforms such as Azure, AWS, or GCP. Knowledge of Git, CI/CD pipelines, and Agile development practices. Experience troubleshooting performance issues across databases and distributed environments. Preferred Skills Experience with Snowpark, Cortex AI, or Databricks AI capabilities. Knowledge of orchestration tools such as Airflow or Azure Data Factory. Familiarity with Kafka, streaming data, or event-driven architectures. Experience with Power BI, Tableau, or other analytics/reporting platforms. Understanding of financial services or enterprise data platforms. Experience 5+ years of software/application development experience. 3+ years of experience with Snowflake and cloud-based data platforms. 2+ years of hands-on Databricks/Spark development experience. Proven track record delivering large-scale data and analytics solutions. Key Competencies Strong problem-solving and analytical skills. Excellent communication and stakeholder management abilities. Passion for automation, performance optimization, and continuous improvement. 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 Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, 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.

The Application Developer will design, develop, and maintain scalable data solutions using Snowflake and Databricks, while building and optimizing ETL/ELT pipelines. They will also collaborate with various teams to deliver end-to-end solutions and ensure compliance with security and regulatory requirements.

Candidates should have strong experience with Snowflake, Databricks, Python, and SQL, along with a proven track record in building data pipelines and cloud-native applications. A minimum of 5 years in software/application development and familiarity with cloud platforms is required.

Identified from the job description. Confirm important requirements above.

• Snowflake
• Databricks
• Python
• SQL
• ETL
• Data Pipelines
• Data Warehousing
• Cloud Platforms
• Apache Spark
• Data Integration
• Automation
• Performance Optimization
• Agile Development
• Data Quality
• CI/CD
• Data Modeling

• Technology
• Data & Analytics
• Software
• Finance & Accounting

Minimum experience

5+ years

Apply by

Aug 14, 2026

Posting language

English

Working hours

40 hours per week

Seniority

Mid-Senior level

Application method

Direct apply is available