Principal Consultant-Data Engineer

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. 
  


Inviting applications for the role of  Principal Consultant-Data Engineer
We are looking for an experienced Data Engineer with strong hands-on skills in PL/SQL, Python and Informatica to join our data engineering team. The ideal candidate will be responsible for building and optimizing scalable data pipelines, performing ETL operations, and ensuring data integrity across various enterprise systems.

Responsibilities
·    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.  
·    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 
·    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 

Qualifications we seek in you!
Minimum Qualifications
·    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.
·    Programming languages: Proficiency in languages such as Python, Java, or Scala is essential for developing data pipelines and processing frameworks.
·    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.
·    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.
·    Data warehousing: Experience with data warehousing solutions like Amazon Redshift, Google BigQuery, or Snowflake is beneficial for organizing and querying large datasets.
·    Strong understanding of security principles and best practices for cloud-based environments.
·    Solid understanding of data warehousing concepts, dimensional modelling and data lakes.
·    Experience in GenAI project (optional)

Preferred Qualifications/ Skills
·    Master’s or bachelor’s Degree-Computer Science, Electronics or any related degree. 

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  
Come join the 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.