Job Location: Hyderฤbฤd
About the role
We are looking for talented Data Engineers who are passionate about data engineering and have strong experience in building scalable data pipelines. As a Data Engineer at Uber, you will play a leading role in designing and building datasets that power analytics for teams across Uber. You will also be working closely with Data Analysts, Data Scientists, and stakeholders to gather requirements and translate them into a data engineering roadmap for the team.
You will be joining the IT Eng – data team which is responsible for building and maintaining datasets for people analytics. We extract data from 10+ data sources and build a consolidated data view for data analytics and reporting to our leadership. We have also been growing our data engineering practices to enable leadership to make the right decisions by building solid people data foundations.
– What You Will Do -โ
- Develop and automate large-scale, high-performance data processing systems.
- Lead data engineering projects to ensure pipelines are reliable, efficient & maintainable
- Design data models for optimal storage and retrieval and to meet business requirements.
- Own and Drive complex architectural changes
- Should be self-motivated and passionate about bringing efficiency into the system through optimizations.
- Should be able to raise the technical bar for other engineers by proposing and driving innovative ideas.
– What You Will Need -โ
- 4+ years of relevant industry experience.
- 4+ years of SQL experience.
- 4+ years of python/java/scala experience.
- 2+ years of data modeling experience.
- Experience designing and deploying high-performance systems with reliable monitoring and logging practices.
- Excellent communication skills, both written and verbal.
- Experience with designing and implementing real-time pipelines.
- Experience with SQL performance tuning and E2E process optimization.
- Experience with workflow management engine e.g Airflow.
- Experience with a cloud platform GCP preferred.
- Experience querying massive datasets using Spark, Presto, Hive, Impala, etc.
- Experience with data quality and validation.
- Experience with more than one coding language.
At Uber, we reimagine the way the world moves for the better. The idea was born on a snowy night in Paris in 2008, and ever since then, our DNA of reimagination and reinvention carries on. Weโve grown into a global platform moving people and things in ever-expanding ways, taking on big problems to help drivers, riders, delivery partners, and eaters make movement happen at the push of a button for everyone, everywhere.
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and letโs move the world forward, together.
Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.
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