Lead Data Engineer
Ready to turn bold ideas into real-world impact?
At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or 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 agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises.
Get to know us at genpact.com and on LinkedIn, YouTube, X, and Facebook.
Job Description
Responsibilities
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Build data pipelines by building ETL processes (Extract-Transform-Load).
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Monitor and optimize the performance of cloud resources to ensure efficient utilization and cost-effectiveness.
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Implement and maintain security measures to protect data and systems within the cloud environment, security groups, and encryption mechanisms.
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Design, develop, and optimize data pipelines using Python/SQL for batch and near real-time processing.
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Develop and maintain complex PL/SQL procedures, functions, and packages for data transformations, validations and reporting.
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Design and implement ETL workflows in Informatica, including mapping, session, and workflow development.
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Data Migration in cloud service
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Develop application programs using Big Data technologies like Apache Hadoop, Apache Spark, etc with appropriate cloud-based services like Amazon AWS, etc.
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Implement backup, disaster recovery and business continuity strategies for cloud-based applications and data.
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Responsible for analysing business and functional requirements which involves a review of existing system configurations and operating methodologies as well as understanding evolving business needs
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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
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Participating in design reviews to provide input on functional requirements, product designs, schedules and/or potential problems
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Understand current application infrastructure and suggest Cloud based solutions which reduces operational cost, requires minimal maintenance but provides high availability with improved security
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Coordinate with release management, other supporting teams to deploy changes in production environment
Qualifications we seek in you!
Minimum Qualifications
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Cloud platforms: Knowledge of cloud services like Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) is necessary for deploying and managing data solutions in the cloud.
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Programming languages: Proficiency in languages such as Python, Java, or Scala is essential for developing data pipelines and processing frameworks.
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Database management: Experience with SQL databases like MySQL or PostgreSQL or NoSQL databases like MongoDB or Cassandra is important for managing structured and unstructured data.
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Big data technologies: Familiarity with big data frameworks such as Apache Hadoop, Apache Spark, and Apache Kafka is crucial for handling large-scale data processing.
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Data warehousing: Experience with data warehousing solutions like Amazon Redshift, Google BigQuery, or Snowflake is beneficial for organizing and querying large datasets.
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Strong understanding of security principles and best practices for cloud-based environments.
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Solid understanding of data warehousing concepts, dimensional modelling and data lakes.
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Experience in GenAI project (optional)
Preferred Qualifications/ Skills
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Master’s or bachelor’s Degree-Computer Science, Electronics or any related degree.
Qualifications
Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science
Certifications
Certified Data Management Professional - RiversandRiversand, Databricks Certified Associate Developer for Apache Spark 3.0 - Databricks AcademyDatabricks Academy, Databricks Certified Associate Developer for Apache Spark - Databricks AcademyDatabricks Academy, Microsoft Certified: Azure Data Engineer Associate - MicrosoftMicrosoft, Oracle Database 12c Certified Implementation Specialist - OracleOracle
Required Skills
Agile Methodology, Banking Capital Markets, Client Relations, Cloud Computing, Collaboration Tools, Commercial Sales, Consumer Packaged Goods (CPG), Databricks Platform, Data Engineering, Data Literacy, Design Thinking, Electronic Hardware, Executive Presence, Inclusion, Manufacturing Equipment, People Leadership, Personal Effectiveness, Risk Management, Semiconductors, Snowflake (Platform), Sourcing and Procurement, Storytelling
Language
English (Required)
Language Proficiency -
Advanced - C1
Additional Job Location -
Job Type
Regular
Master Skill List -
Data Engineering
Remote Type -
Hybrid
Work Shift -
Day Job (India)
Why join Genpact?
- Lead AI-powered transformation – Drive innovation and solve real-world business challenges that matter
- Make an impact – Help global enterprises solve business challenges that matter
- Accelerate your career – Gain hands-on experience, mentorship, and world-class learning opportunities to stay ahead
- 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 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.
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.
