Aspect Capital - Data Engineer
- 1-3 years working as a Data Engineer
- Expertise with Python and SQL
- Understanding of core database concepts
- Familiarity with a cloud platform or data warehouse
- SDLC and DevOps: Git, Docker, Jenkins/TeamCity, monitoring, automated testing
- Ability to communicate clearly with technical and non-technical colleagues
- dbt and Snowflake
- Kafka
- Airflow
- Building a streaming platform to capture and aggregate large volumes of tick data
- Developing ELT pipelines to ingest and transform datasets with Python, Snowflake and dbt
- Enhancing client libraries to provide unified access to our entire data catalogue
- Supporting our Java live data feedhandlers
- Consolidating legacy MATLAB systems onto our strategic technology stack
- Working closely with quantitative developers, researchers and portfolio managers
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