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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 stakeholders to gather requirements and translate them into a data engineering roadmap for the team.
What the Candidate Will Need / Bonus Points
- What the Candidate Will Do -
\* 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.
- Basic Qualifications -
\* 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.
- Preferred Qualifications -
\* 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.
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