Senior Data Platform Engineer

3 weeks ago

Bengaluru, India Vimeo, Inc. Full time
Our platform has robust analytics tools that can tell video creators where people are from, where they click, and even track where in a video someone stopped watching—giving you insight into creating engaging content in the future.
What you'll do:
Design, develop and maintain Vimeo’s product and event analytics platform that processes billions of records every day in real-time to enable analytics and event-driven systems
Partner with analytics leaders and analysts to ensure adherence to data governance and data modeling best practices
Partner with product engineering teams to enhance the efficiency of product analytics clients and data collection mechanisms
Contribute software designs, code, tooling, testing, and operational support to a multi-terabyte analytics platform
Provide technical leadership to the data engineering team and actively lead design discussions
Constantly monitor our data platform and make recommendations to enhance system architecture
Work collaboratively with other data engineers, analysts, and business stakeholders to understand and plan technical requirements for projects
Prioritize project intake, perform cost/benefit analysis, and make decisions about what work to pursue that best balances our platform’s users, stakeholders, and technology
Skills and knowledge you should possess:
5+ years of engineering experience in a fast-paced environment; 2+ years of experience in scalable data architecture, fault-tolerant ETL, and monitoring of data quality in the cloud
Deep understanding of distributed data processing architecture and tools such as Kafka and Spark
Working knowledge of design patterns and coding best practices
Experience with and understanding of data modeling concepts, techniques, and best practices
Experience with Airflow, Celery, or other Python-based task-processing systems
Proficiency in SQL
Proficiency in Python or Java
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):
Cloud-based DevOps: AWS or Google Cloud Platform or Azure
Experience with Amplitude, Snowplow, Segment, or other event analytics platforms
Relational database design
Snowflake or other distributed columnar-store databases
Basic Linux/Unix system administration skills
Familiarity with containerization technologies (e.g., Docker, Kubernetes)#

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