Data Engineer 2

Data Engineer 2 Department: Engineering Team: Data Location: Bangalore, India Type: Full-Time **About the Role** The Delivery Data Solutions (DDS) team is a horizontal team responsible to transform data Delivery to meaningful data to support analytics, metrics, power ML models and support KPIs for the domain teams through real time/batch processing. We lead the optimal data resource utilization and data quality for the organization. We provide visibility and standardization of core business metrics powered through the canonical data sets owned by the team. The team is the centre of excellence for data engineering practices across Uber Delivery org. The team creates efficient tools and processes to help people working on data, designs and maintains a holistic view of delivery data, and manages and optimises delivery data infrastructure resources. **What the Candidate Will Need / Bonus Points** \-\-\-\- What the Candidate Will Do ---- 1. Build Data Products for business use cases - batch & real time 2. Metrics development for the analytical needs 3. Optimizations & improvements focussed on optimal resource utlization, improve SLA and adhere to the data quality standards. 4. Consult and advise the product engineering teams on the data engineering practices. \-\-\-\- Basic Qualifications ---- 1. Bachelor's degree in Computer Science or related technical field or equivalent practical experience 2. Experience coding using general purpose programming language (eg. Java, Python, Go, Scala) 3. Understanding of Data tech stack eg: Spark, Hive, Kafka 4. Data warehouse experience 5. Scripting and programming skill \-\-\-\- Preferred Qualifications ---- 1. Masters degree in Computer Science or related technical field or equivalent practical experience 2. Delivery Domain Understanding Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let’s move it forward, together. Offices continue to be central to collaboration an