Summary:
Quibi’s data engineering team is seeking experienced data engineers to design and build a state-of-the-art data ecosystem from scratch. Our team will build data pipelines, data models, and interfaces that enable data driven decisions across all aspects of Quibi. You will join a team of selfless experts who are able to operate independently, while also effectively collaborating and sharing knowledge.
What You'll Do:
Build a brand-new data platform, warehouse, and pipelines from scratch; no legacy codebase
Collaborate closely with engineering, business, analytics, and data science partners
Design well architected solutions that are ready for massive scale as our data and business grows
Contribute best-in-class distributed data processing techniques
What You'll Need:
5+ years experience in data engineering and data warehousing
Significant experience with a number of the following technologies:
Distributed data processing - Spark, Hadoop, Presto, etc
Data oriented software engineering - Python, Scala, etc
Stream processing frameworks - Flink, Kafka, etc
MPP data warehousing - Snowflake, Redshift, etc
SQL and query performance tuning
Able to collaborate with technical and non-technical stakeholders
Experience modeling data to enable extensive self-service access
Experience with cloud computing services - AWS, GCP, etc
Experience collaborating on projects and working efficiently as part of a team
Love of owning a problem end to end
Nice-To-Haves:
B.S. or M.S. Computer Science or Data Analytics / Engineering
Expertise with core Computer Science fundamentals, including Object-Oriented programming, data structures, and algorithms
Experience building analytics, dashboards, and metrics
Experience as a technical lead