Information Technology
Full-Time
Uber
Overview
What the Candidate Will Need / Bonus Points - What the Candidate Will Do -
Collaborates with team members to develop and maintain data tools and solutions (e.g., pipelines, models, tables) to acquire, process, and store data. This role also designs and develops large-scale data systems (e.g., databases, data warehouses, big data systems), platforms, and infrastructure for various analytics and business applications.
- Basic Qualifications -
- Preferred Qualifications -
Collaborates with team members to develop and maintain data tools and solutions (e.g., pipelines, models, tables) to acquire, process, and store data. This role also designs and develops large-scale data systems (e.g., databases, data warehouses, big data systems), platforms, and infrastructure for various analytics and business applications.
- Build Data Products for business use cases - batch & real time
- Metrics development for the analytical needs
- Optimizations & improvements focussed on optimal resource utlization, improve SLA and adhere to the data quality standards.
- Mentor the fellow engineers on design & architecture, perform quality code review and design reviews for the data product development.
- Contribute to the strategic investments both from inception and execution point of view.
- Consult and advise the product engineering teams on the data engineering practices.
- Basic Qualifications -
- Bachelor's degree in Computer Science or related technical field or equivalent practical experience
- Experience coding using general purpose programming language (eg. Java, Python, Go, Javascript, Fusion)
- Expert in data tech stack eg: Spark, Hive
- Preferred Qualifications -
- Data warehouse experience
- Expertise in data tech stack: Spark, Hive
- Scripting and programming skill
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