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With us, you’ll learn fast, work smart, and make a difference. You'll build a career that matters.Job Description - Principal Consultant - SQL,AWS Glue, Athena , EC2, S3,Data Modeling, Snowflake, Data Warehousing (HMS064699)Principal Consultant - SQL,AWS Glue, Athena , EC2, S3,Data Modeling, Snowflake, Data Warehousing - HMS064699Ready to build the future with AI? At Genpact, we don’t just keep up with technology—we set the pace. 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, 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 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, YouTube, and Facebook.Inviting applications for the role of Principal Consultant, AWS ETL, Glue, Lambda, S3!Responsibilities- 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.- 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 strategise the impact of requirements on different platforms/applications, converting 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 reduce operational cost, require minimal maintenance but provide 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.QualificationsMinimum Qualifications- Experience in designing, implementing data pipelines, building 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.- 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- Master’s Degree – Computer Science, Electronics, Electrical.- AWS Data Engineering & Cloud certifications, Databricks certifications.- Experience of working with Oracle ERP.- Experience with multiple data integration technologies and cloud platforms.- Knowledge of Change & Incident Management process.Why join Genpact?- Lead AI‑first transformation – Build and scale AI solutions that redefine industries.- Make an impact – Drive change for global enterprises and solve business challenges that matter.- Accelerate your career—Gain hands‑on experience, world‑class training, mentorship, and AI certifications to advance your skills.- Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast‑moving workplace.- Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build.- 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.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.#J-18808-Ljbffr