Data Engineer
Found in: beBee jobs US - 2 weeks ago
Leading Global Hedge Fund
Data Engineer
NYC
What you'll do
The Data Engineer will undertake the design, implementation, and maintenance of functionalities within our cloud-native data platform. As a vital member of our expanding investment team, you will collaborate closely with Quantitative Researchers and Data Scientists to define required data outputs for research purposes. This role necessitates ownership over the design and execution of new data processes, encompassing onboarding and transformation of new data sources, conducting data quality assurance analyses, generating data for downstream analyses and dashboards, optimizing parallel compute capabilities for machine learning, facilitating feature engineering, and automating quality checks.
What you'll bring
Requirements:
- Proficiency in Python and SQL
- Exceptional communication skills, both written and verbal
- Advanced analytical abilities, coupled with logical problem-solving skills and a strong quantitative aptitude
- Demonstrated sense of project ownership and a proven track record of delivering results
Preferred qualifications:
- Experience collaborating with data analysts to define data models, establish metrics, and develop dashboards
- Familiarity with cluster computing (e.g., Spark, Dask) and schedulers (e.g., Airflow, Dagster, Prefect)
- Proficiency in cloud-based data warehousing technologies (e.g., Databricks, Snowflake, Redshift)
- Previous exposure to quantitative trading firms/hedge funds or expertise in time series/market/alternative data
- Interest or prior experience in analytics engineering (utilizing tools like dbt or other ELT frameworks)
- Background in working with machine learning or NLP data pipelines.
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