Consultant-Data Engineer, AWS+Python, Spark, Kafka for ETL

Hyderabad, Telangana
Permanent
Full-time

1 month ago

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 , 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 , 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 and on , , , and .Inviting applications for the role of Consultant-Data Engineer, AWS+Python, Spark, Kafka for ETL!ResponsibilitiesDevelop, 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 costDevelop 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 needsAnalyse requirements/User stories at the business meetings and strategize the impact of requirements on different platforms/applications, convert the business requirements into technical requirementsParticipating in design reviews to provide input on functional requirements, product designs, schedules and/or potential problemsUnderstand current application infrastructure and suggest Cloud based solutions which reduces operational cost, requires minimal maintenance but provides high availability with improved securityPerform 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 wayCoordinate with release management, other supporting teams to deploy changes in production environmentQualifications we seek in you!Minimum QualificationsExperience in designing, implementing data pipelines, build data applications, data migration on AWSStrong experience of implementing data lake using AWS services like Glue, Lambda, Step, RedshiftExperience of Databricks will be added advantageStrong experience in Python and SQLProven 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/ SkillsMaster’s Degree-Computer Science, Electronics, Electrical.AWS Data Engineering & Cloud certifications, Databricks certificationsExperience with multiple data integration technologies and cloud platformsKnowledge of Change & Incident Management processWhy join Genpact?Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovationMake an impact – Drive change for global enterprises and solve business challenges that matterAccelerate your career – Get hands-on experience, mentorship, and continuous learning opportunitiesWork with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every dayThrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progressCome 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.

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