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About the role
About The Program The uReturn, a returneeship program by Uber is an initiative toward fulfilling its commitment to building sustainable diverse teams. Through this initiative, Uber strives to reach out to women on a career break, due to personal obligations, caregiving responsibilities, etc. who would like to come back into the workforce. It provides a bridge for them to bounce back into their careers with confidence and comfort. uReturn is a full-time employment program that aims to provide a work environment where women can truly succeed, providing active support through various stages of selection, onboarding & assimilation. We are looking to hire Software Engineers / Senior Software Engineers / Applications Engineers / Data Engineers/Technical Program Manager/Data Scientists/Product Managers through this program who will be based out of Hyderabad/Bengaluru/Remote. What The Candidate Will Do Work with the product managers in one of the Engineering teams in HYD / BLR to develop the products for solving business needs. Enhance the products and provide extraordinary support Demonstrate technical expertise & thought leadership Define/create frameworks and abstractions that are reliable & reusable, anticipate future challenges, support the company's rapid growth, avoid surprising outcomes, and lessen the workload of other engineers Identify and solve major architectural problems by going deep in your field or broad across different teams. Minimum qualifications: Bachelor's Degree Or Equivalent In Computer Science, Engineering, Mathematics Or Related Field Or 4-year Full-time Software Engineering Work Experience, Which Includes 3-year Total Technical Software Engineering Experience In any Of The Following Areas Programming language (e.g. C, C++, Java, Python, or Go) Programming language (e.g. JavaScript, CSS, Node.js) Programming and scripting language (e.g. Python, SQL, Java/Scala) Oracle ERP system integration experience Architecting, building, and maintaining web applications Architecting, building and maintaining scalable services Big data frameworks (e.g. Spark, Flink, Presto), data modeling, and writing ETLs Designing pipelines or system components in the big data ecosystem Technical Program Management Product management Data Science
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