Senior Data Ops Engineer
Job Description
- Market Data Projects
- Capital markets experience
- Snowflake
- Airflow
- SQL
- Python
- Linux
- Containerization (Docker, Kubernetes)
- AWS
- Strong DevOps skills
- Good communication
Project description
Develop scalable data collection, storage, and distribution platform to house data from vendors, research providers, exchanges, PBs, and web-scraping. Make data available to systematic & fundamental PMs, and enterprise functions: Ops, Risk, Trading, and Compliance. Develop internal data products and analytics
Responsibilities
Web scraping using scripts/APIs/Tools
Help build and maintain greenfield data platform running on Snowflake and AWS
Understand the existing pipelines and enhance pipelines for the new requirements.
Onboarding new data providers
Data migration projects
Skills
Must have
SQL
Python
Linux
Containerization(Docker, Kubernetes)
Good communication skills
AWS
Strong on Dev ops side of things(K8s, Docker, Jenkins)
Nice to have
Market Data Projects/ Capital markets exp
Snowflake is a big plus
Airflow
Other
Languages
English: B2 Upper Intermediate
Seniority
Senior
