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Data Engineer I presso Alterman

Alterman · Live Oak, Stati Uniti d'America · Onsite

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Overview: 

The Data Engineer I is a key technical resource for Alterman’s data pipelines and helps contextualize and provide easy access to data for the entire organization. The Data Engineer I designs, builds, and deploys data solutions that capture, explore, transform, and utilize data to support and drive business initiatives.

 

Essential Functions:

1. 90%

  • Constructs new data pipelines and optimizes existing ones to ensure resiliency and scalability.
  • Designs data models for optimized reporting.
  • Creates complex views specific for various operations groups.
  • Creates Extract, Load, Transform (ELT) jobs from various data sources.
  • Assists data team with data initiatives and automation needs.
  • Maintains and enforces best practices with regards to data source control and queries.
  • Contributes to data catalogs and dictionaries.
  • Tests and debugs ELT functions.

2. Performs other duties as assigned. 10%

Education and Experience:

  • 2 years of related experience engineering and operationalizing data pipelines within a cloud environment required.
  • 2 years of related experience with ELT and Data Warehousing required.
  • Experience with Azure DevOps and Snowflake required.
  • Experience with SQL required; Python preferred for light transformations and automation. 
  • Experience with data engineering best practices for development required, including query optimization, version control, code reviews and documentation.

Skills/Abilities:

  • Excellent verbal and written communication skills, with a demonstrated ability to translate the stories found in the data.
  • Strong analytical and critical thinking skills.
  • Statistical modeling and/or data visualizations skills preferred.
  • Proficient with Microsoft Office Suite, or other related software.
  • Proficient in SQL and/or Python.
  • Familiarity with data quality, lineage, and cataloging practices. 
  • Awareness of data governance and security (RBAC/roles, object tags, masking, RAPS). 
  • Able to learn corporate processes, standards, and technologies.
  • Able to work adaptively and collaboratively.
  • Able to cross-train with other system owners and administrators to ensure adequate coverage across platforms.

Work Environment:

  • Office environment.

Physical Demands:

  • Prolonged periods of sitting at a desk and working on a computer.
  • Manual dexterity associated with computer data entry required.
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