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Uber Technologies, Inc. (NYSE: UBER) is a leading ride-hailing platform headquartered in Mission Bay, San Francisco, CA. Founded in 2009, Uber has transformed transportation services, completing over 1.5 billion trips globally. The company went public in May 2019 and has raised $15.8 billion in fund...
Uber provides comprehensive healthcare, a robust employee stock purchase plan, generous paid vacation, and a four-week sabbatical after five years of ...
Uber fosters a culture of innovation and adaptability, continuously expanding its services beyond traditional ride-hailing. The company emphasizes wor...

Uber • Hyderabad, IND
Uber is seeking a Data Engineer to design and implement complex data pipelines and solutions. You'll work with technologies like Python, SQL, and Apache Spark to drive large-scale projects. This role requires 5+ years of experience in software engineering.
You have 5+ years of technical software engineering experience, particularly in data engineering, where you've successfully designed and implemented large-scale systems. Your expertise includes programming and scripting languages such as Python and SQL, and you are well-versed in big data frameworks like Apache Spark and Hadoop. You understand the intricacies of data modeling and have hands-on experience writing ETL processes that are efficient and scalable.
You possess strong SQL skills and a solid understanding of data warehousing concepts. Your experience includes working with the Hadoop tech stack, including HDFS, Hive, Oozie, and Airflow, which allows you to manage and orchestrate complex data workflows effectively. You are a great communicator and a standout teammate, capable of collaborating with cross-functional teams to gather requirements and translate them into actionable data engineering roadmaps.
While not required, familiarity with performance troubleshooting and tuning will set you apart. Experience in building ETL data pipelines that are robust and efficient is a plus, as is a background in designing end-to-end data solutions and architecture.
In this role, you will collaborate with engineering, product, and analyst teams across various tech sites to achieve collective objectives that drive Uber forward. You will enrich data layers to support the next generation of products that stem from Uber's ambitious initiatives. Your primary responsibility will be to design and build data pipelines that schedule and orchestrate tasks such as extracting, cleansing, transforming, enriching, and loading data according to business needs.
You will take ownership of large projects from inception to production, ensuring that the data solutions you create are not only effective but also scalable. Your role will involve working closely with technology partners to gather requirements and translate them into a comprehensive data engineering roadmap. You will be expected to maintain high standards of data quality and performance, ensuring that the systems you build can handle the demands of a rapidly evolving business landscape.
At Uber, you will be part of a dynamic team that values innovation and collaboration. We offer a competitive salary and benefits package, along with opportunities for professional growth and development. You will have the chance to work on impactful projects that shape the future of transportation and technology. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.
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