Data Engineer (Python/SQL) 750 views

Vimeo is searching for an experienced Python and SQL software engineer for its Business Intelligence team. This is an opportunity to design and maintain a robust, scalable, and sustainable enterprise data platform with other members of the Business Intelligence team. The ideal candidate will enjoy working on a variety of projects at once, with lots of different software services and data sources, all orchestrated with Python code.

Their platform has robust analytics tools that can tell video creators where people are from, where they click, and even track wherein a video someone stopped watching—giving you insight into creating engaging content in the future.

While working as a peer to both technical and non-technical staff throughout the company, you will drive the improvement process of both their products and our business operations.  You will help define data access and discoverability requirements and work to create infrastructure and services that provide access to event streams.

What you’ll do:

• Work closely with other BI engineers, BI analysts, and business stakeholders to understand and plan technical requirements for BI projects
• Provide decision analysis and decision support to business stakeholders using BI and other data
• Learn quickly and deeply about Vimeo’s software platform, desktop, and mobile applications
• Contribute software designs, code, tooling, testing, and operational support to a multi-terabyte BI data platform
• Collaborative work: iterative development, design, and code review sessions
• Independent work: author and maintain tools for other developers, plus regular hack weeks to develop for the Vimeo platform

Skills and knowledge you should possess:

• 3+ years of engineering experience in a fast-paced environment; 1+ years of experience in scalable data architecture, fault-tolerant ETL, and monitoring of data quality in the cloud
• Proficiency in SQL
• Proficiency in Python
• Proficiency with modern source control systems, especially Git
• Experience working with non-technical business stakeholders on technical projects

Bonus Points (Nice Skills to Have, but Not Needed):

• Airflow, Celery, or other Python-based task processing systems
• Cloud-based DevOps: AWS or Google Cloud Platform
• Relational database design
• Kafka, Kinesis, PubSub, and other durable, scalable messaging systems
• Spark
• Pandas or R
• Redshift, Vertica, Snowflake, CitusDB, or other distributed columnar-store databases
• Experience with Mixpanel, Keen.io, Snowplow, or similar event tracking systems
• Experience with any distributed map/reduce framework, in Hadoop or otherwise
• Basic Linux/Unix system administration skills