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Data Engineer

4 weeks ago

Gurgaon Division, India Sun Life Full time

Who we are? Sun Life is a leading financial services company with 157 years of history that helps our clients achieve lifetime financial security and live healthier lives. We serve millions in Canada, the U.S., Asia, the U.K., and other parts of the world. We have a network of Sun Life advisors, third-party partners, and other distributors. Through them, we’re helping set our clients free to live their lives their way, from now through retirement. We’re working hard to support their wellness and health management goals, too. That way, they can enjoy what matters most to them. And that’s anything from running a marathon to helping their grandchildren learn to ride a bike. To do this, we offer a broad range of protection and wealth products and services to individuals, businesses, and institutions, including: Insurance. Life, health, wellness, disability, critical illness, stop-loss, and long-term care insurance Investments. Mutual funds, segregated funds, annuities, and guaranteed investment products Advice. Financial planning and retirement planning services Asset management. Pooled funds, institutional portfolios, and pension funds. Sun Life Global Solutions (SLGS) With 32 years of operations in the Philippines and 17 years in India, Sun Life Global Solutions, (formerly Asia Service Centres), a microcosm of Sun Life, is poised to harness the regions’ potential in a significant way - from India and the Philippines to the world. We are architecting and executing a BOLDER vision: being a Digital and Innovation Hub, shaping the Business, driving Transformation and superior Client experience by providing expert Technology, Business and Knowledge Services and advanced Solutions. We help our clients achieve lifetime financial security and live healthier lives – our core purpose and mission. Drawing on our collaborative and inclusive culture, we are reckoned as a ‘Great Place to Work’, ‘Top 100 Best Places to Work for Women’ and stand among the ‘Top 11 Global Business Services Companies’ across India and the Philippines. Key Qualifications and experience: Bachelors in Technology(B.Tech) Computer Engineering or Masters in computer application(MCA) 2 to 4 years of IT experience Good experience in Python programming language for data analysis Implemented the developed methodology on Cloud, using AWS services like S3, Lambda, Glue, PySpark, SQS, DynamoDB Roles and Responsibility Responsible to understand & develop ETL Data Prototypes using Python  Design and develop ETL Rules in AWS Glue Delivering data related projects using different AWS technologies like S3, Lambda, Glue, PySpark,