What are the responsibilities and job description for the Data Engineer position at Introlligent Inc.?
Job Details
Duties:
- Maintain and improve reliability of existing data science pipelines and tooling. This may include better scheduling, building better tools to build and test workflows, or updating and adding features to internal libraries.
- Debug and optimize data transformations, storage, and other issues with existing and new pipelines that arise.
- Assist with infrastructure modernization, moving to newer storage formats, internal tooling, and compute platforms.
- Build and maintain features in support libraries to enable faster and reproducible prototyping across the Eval Data Science organization
- Maintaining internal Python libraries with best practices and teaching those practices to data scientists
- Serve as an internal engineering consultant for data science projects in areas like computation, data access, and data storage considerations
Skills: Must haves highlighted in Bold
- Experience with distributed computational framework, such as Spark (Scala or Python)
- Data ETL tasks like cleaning, transforming, processing and storage optimization
- CI/CD experience with tools such as Github Actions, Travis CI
- Data Orchestration Systems like Airflow, Dagster, Prefect
- Cloud storage and data processing platforms
- Languages: Python, Scala, SQL
Education:
BS/BA in quantitative field such as engineering, mathematics, computer science, or equivalent experience such as 3 years working on data engineering tasks like: data transformations, cleaning, orchestration, and data processing using Python and/or Scala.
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