Job Description

Ready to shape the future of work?
At Genpact, we donxe2x80x99t just adapt to changexe2x80x94we drive it. AI and digital innovation are redefining industries, and wexe2x80x99re leading the charge. Genpactxe2x80x99s , our industry-first accelerator, is an example of how wexe2x80x99re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companiesxe2x80x99 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 thatxe2x80x99s 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 xe2x80x93 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 , , , and .
Inviting applications for the role of Consultant-Data Engineer, AWS+Python, Spark, Kafka for ETL!
Responsibilities
Develop, deploy, and manage ETL pipelines using AWS services, Python, Spark, and Kafka.
Integrate structured and unstructured data from various data sources into data lakes and data warehouses.
Design and deploy scalable, highly available, and fault-tolerant AWS data processes using AWS data services (Glue, Lambda, Step, Redshift)
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 AWS environment, including IAM policies, security groups, and encryption mechanisms.
Migrate the application data from legacy databases to Cloud based solutions (Redshift, DynamoDB, etc) for high availability with low cost
Develop application programs using Big Data technologies like Apache Hadoop, Apache Spark, etc with appropriate cloud-based services like Amazon AWS, etc.
Build data pipelines by building ETL processes (Extract-Transform-Load)
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
Perform unit testing on the modified software to ensure that the new functionality is working as expected while existing functionalities continue to work in the same way
Coordinate with release management, other supporting teams to deploy changes in production environment
Qualifications we seek in you!
Minimum Qualifications
Experience in designing, implementing data pipelines, build data applications, data migration on AWS
Strong experience of implementing data lake using AWS services like Glue, Lambda, Step, Redshift
Experience of Databricks will be added advantage
Strong experience in Python and SQL
Proven expertise in AWS services such as S3, Lambda, Glue, EMR, and Redshift.
Advanced programming skills in Python for data processing and automation.
Hands-on experience with Apache Spark for large-scale data processing.
Experience with Apache Kafka for real-time data streaming and event processing.
Proficiency in SQL for data querying and transformation.
Strong understanding of security principles and best practices for cloud-based environments.
Experience with monitoring tools and implementing proactive measures to ensure system availability and performance.
Excellent problem-solving skills and ability to troubleshoot complex issues in a distributed, cloud-based environment.
Strong communication and collaboration skills to work effectively with cross-functional teams.
Preferred Qualifications/ Skills
Masterxe2x80x99s Degree-Computer Science, Electronics, Electrical.
AWS Data Engineering & Cloud certifications, Databricks certifications
Experience with multiple data integration technologies and cloud platforms
Knowledge of Change & Incident Management process
Why join Genpact?
Be a transformation leader xe2x80x93 Work at the cutting edge of AI, automation, and digital innovation
Make an impact xe2x80x93 Drive change for global enterprises and solve business challenges that matter
Accelerate your career xe2x80x93 Get hands-on experience, mentorship, and continuous learning opportunities
Work with the best xe2x80x93 Join 140,000+ bold thinkers and problem-solvers who push boundaries every day
Thrive in a values-driven culture xe2x80x93 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.
Letxe2x80x99s 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. '