ByThis job listing is for a Data Engineer role in Hyderabad, India at Uber, with a focus on complex data pipeline design and implementation for FinTech projects. The role involves collaborating with cross-functional teams and requires strong technical skills in data engineering. Below is a breakdown of the key responsibilities and qualifications:
Key Responsibilities:
- Collaborate with engineering, product, and analyst teams to achieve company objectives (OKRs).
- Enhance data layers to support Uber’s next-generation products.
- Design and develop data pipelines to handle tasks such as extraction, cleansing, transformation, enrichment, and loading of data.
Basic Qualifications:
- Strong proficiency in SQL.
- Solid understanding of Data Warehousing and Data Modeling
- Hands-on experience with the Hadoop ecosystem, including:
- HDFS, Hive, Oozie, Airflow, MapReduce, and Spark.
- Proficiency in programming languages such as Python, Java, and Scala.
- Experience building ETL Data Pipelines.
- Expertise in Performance Troubleshooting and Tuning.
Uber values diversity and encourages candidates from all backgrounds to apply. Employees are generally expected to spend at least half of their work time in the office unless remote work is approved.
For accommodations, Uber provides options based on religious or medical needs.
Application Link:Â Uber Hiring Data Engineer
