Ready to build the future with AI?

At Genpact, we don't just keep up with technology-we set the pace. 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, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what's possible, 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 and on LinkedIn, X, YouTube, and Facebook.

As a Senior Cloud Data Warehouse Engineer, you will be a member of the C3 Data Warehouse team with a focus on building our next-gen data platform used for sourcing and storing data from different technology systems across the firm into a centralized data platform that empowers various reporting and analytics solutions for the Technology Risk functions within Morgan Stanley. In this role you will be primarily responsible for contributing to the development of our Cloud Data Warehouse utilizing Snowflake and Python-based tooling. You will also be responsible for the design and development of our data warehouse utilizing Snowflake capabilities such as data sharing, time travel, Snow Park, workload optimization across analytic and AI use-cases, and the ingestion and storage of structured and unstructured data. You will also work on the integration of our Snowflake data warehouse with existing internal platforms for data quality, data cataloging, data discovery, incident logging, and metric generation. You will be working closely with data warehousing leads, data analysts, ETL developers, infrastructure engineers, and data analytics teams to facilitate the implementation of this data platform and data pipeline framework.

Key Responsibilities:

• To design, develop, and manage our Snowflake data warehouse.
• To contribute towards the establishment of best practices for the optimal and efficient usage of Snowflake with tooling like Airflow, DBT and Spark.
• To assist with the testing and deployment of our data pipeline framework utilizing standard testing frameworks and CI/CD tooling.
• To monitor the performance of queries and data loads and perform tuning as necessary.
• To provide assistance and guidance during the QA & UAT phases to quickly confirm the validity of potential issues and to determine the root cause and best resolution of verified issues.

Skills / Qualifications:

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related field required.
• At least 10 years of experience in data development and solutions in highly complex data environments with large data volumes.
• At least 7 years of SQL / PLSQL experience with the ability to write ad-hoc and complex queries to perform data analysis.
• At least 5 years of experience with developing data solutions on Snowflake.
• At least 3 years of data pipelines and data warehousing solutions using Python and libraries such as Pandas, NumPy, PySpark, etc.
• At least 3 years of experience developing solutions in a hybrid data environment (on-Prem and Cloud)
• Hands on experience with Python must.
• Hands on experience with Airflow (or similar tools like Dagster) a must.
• Snowflake SnowPro Core a must
• Snowflake SnowPro Advanced Architect and Advanced Data Engineer a plus.
• Hands on experience with DBT a plus.
• Experience with performance tuning SQL queries, Spark job, and stored procedures.
• An understanding of E-R data models (conceptual, logical, and physical).
• Understanding of advanced data warehouse concepts (Factless Fact Tables, Temporal Bi-Temporal models, etc.) a plus.
• Strong analytical skills, including a thorough understanding of how to interpret customer business requirements and translate them into technical designs and solutions.
• Strong communication skills both verbal and written. Capable of collaborating effectively across a variety of IT and Business groups, across regions, roles and able to interact effectively with all levels.
• Self-starter. Proven ability to manage multiple, concurrent projects with minimal supervision. Can manage a complex ever changing priority list and resolve conflicts to competing priorities.
• Strong problem-solving skills. Ability to identify where focus is needed and bring clarity to business objectives, requirements, and priorities.

Why join Genpact?

Lead AI-first transformation - Build and scale AI solutions that redefine industries

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

Accelerate your career-Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills

Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace

Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything we build

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 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.

Let's build tomorrow together

The approximate annual base compensation range for this position is $110,000 to $120,000. The actual offer, reflecting the total compensation package plus benefits, will be determined by a number of factors which include but are not limited to the applicant's experience, knowledge, skills, and abilities; geographic location; and internal equity.

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.