Data Engineer

Industry: Finance
Company size: 11-50

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Job description

A fast-growing, venture-capital company that invests in information technology and event-driven hedge funds focused primarily on the health care and consumer sectors is looking for a Data Engineer. The selected candidate will be responsible for building data pipeline infrastructure/process and upgrading the current infrastructure. The platform manages and maintains critical position and portfolio level hedges, all to mitigate basis and market risks. This is a full-time, long-term opportunity that requires at least 6 hours overlap with EST.


Job Responsibilities:

  • Build data pipeline infrastructure/process
  • Upgrade the current data infrastructure
  • Design database and data pipeline/ETL using emerging technologies and tools
  • Drive the team to develop operationally efficient analytic solutions
  • Define standards, methodologies for the Data Warehousing environment

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 3+ years of relevant experience as a data engineer
  • Proficiency in Python and its common libraries
  • Knowledge of Pandas and SQL connector
  • Extensive experience in parsing files and can write classes
  • Experience in writing queries to dedup and performing conditional aggregations using window functions
  • Familiar with popular computing engines such as EC2, EMR, and Batch
  • In-depth understanding of s3, EFS, awscli, and boto3
  • Understanding of ETL processes can write modular code to facilitate better unit test of each module
  • Experience with Apache airflow or Docker

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