Genpact is seeking a Lead Consultant-Data Engineer to join their data engineering team. The ideal candidate will have strong hands-on skills in PL/SQL, Python, and Informatica, and be responsible for building and optimizing scalable data pipelines, performing ETL operations, and ensuring data integrity across various enterprise systems.
Requirements
- Build data pipelines by building ETL processes (Extract-Transform-Load).
- Monitor and optimize the performance of cloud resources to ensure efficient utilization and cost-effectiveness.
- Implement and maintain security measures to protect data and systems within the cloud environment, security groups, and encryption mechanisms.
- Design, develop, and optimize data pipelines using Python/SQL for batch and near real-time processing.
- Develop and maintain complex PL/SQL procedures, functions, and packages for data transformations, validations and reporting.
- Design and implement ETL workflows in Informatica, including mapping, session, and workflow development.
- Data Migration in cloud service
- Develop application programs using Big Data technologies like Apache Hadoop, Apache Spark, etc with appropriate cloud-based services like Amazon AWS, etc.
- Implement backup, disaster recovery and business continuity strategies for cloud-based applications and data.
- Analyse business and functional requirements
- Analyse requirements/User stories at the business meetings and strategize the impact of requirements on different platforms/applications, convert the business requirements into technical requirements
- Participating in design reviews to provide input on functional requirements, product designs, schedules and/or potential problems
- Understand current application infrastructure and suggest Cloud based solutions which reduces operational cost, requires minimal maintenance but provides high availability with improved security
- Coordinate with release management, other supporting teams to deploy changes in production environment
Benefits
- 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
