Senior Principal consultant- Data Engineer

Drive the vision for modern data and analytics platform to deliver well architected and engineered data and analytics products leveraging cloud tech stack and third-party products

Close the gap between ML research and production to create ground-breaking new products, features and solve problems for our customers

Design, develop, test, and deploy data pipelines, machine learning infrastructure and client-facing products and services

Build and implement machine learning models and prototype solutions for proof-of-concept

Scale existing ML models into production on a variety of cloud platforms

Analyze and resolve architectural problems, working closely with engineering, data science and operations teams.

Design and develop data pipelines: Create efficient data pipelines to collect, process, and store large volumes of data from various sources.

Implement data solutions: Develop and implement scalable data solutions using technologies like Hadoop, Spark, and SQL databases.

Ensure data quality: Monitor and improve data quality by implementing validation processes and error handling.

Collaborate with teams: Work closely with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions.

About Company

Genpact is a global professional services firm that offers a wide range of digital transformation services and solutions. With a presence in over 30 countries, Genpact leverages its deep domain expertise in operations and analytics to help businesses transform their operations, improve efficiency, and enhance customer experience. The company combines digital technology, data science, and operational excellence to deliver business outcomes across various industries, including banking, insurance, manufacturing, and healthcare. Founded in 1997 as a subsidiary of GE, Genpact has grown into an independent, NYSE-listed company with a diverse workforce of over 90,000 employees globally.