Lead Consultant-Data Engineer
Lead Consultant-Data Engineer
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Job Description
Ready to shape the future of work
At Genpact we dont just adapt to changewe drive it. AI and digital innovation are redefining industries and were leading the charge. Genpacts AI Gigafactory our industry-first accelerator is an example of how were 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 thats 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 and on LinkedIn X YouTube and Facebook.
Inviting applications for the role of Lead Consultant-Data Engineer
We are looking for an experienced Data Enlgineer 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
Masters or bachelors 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 140000 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.
Lets 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.
Required Experience:
Contract
Employment Type
Full-Time
