Largeton Group

Mid-Level Data Engineer

Largeton Group Columbus, OH
Largeton Group

Mid-Level Data Engineer

Largeton Group Columbus, OH
13 hours ago 119 applicants

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Job Summary For Mid-Level Data Engineer

  • Support the IAM Data Lake Engineering initiative.
  • Build and maintain Data Lake solutions on Google Cloud Platform (GCP) using big data tools and technologies.
  • Design, develop, and optimize data pipelines for ingestion, processing, and transformation of large-scale datasets.
  • Implement data modeling and data processing solutions to support analytical and operational requirements.
  • Utilize PySpark for distributed data processing and transformation tasks.
  • Work extensively with the Hadoop ecosystem, including HDFS for data storage and management.
  • Apply deep knowledge of GCP architecture, including bucket structuring, naming conventions, lifecycle policies, and access controls.
  • Integrate and manage data using Neo4j for graph database requirements.
  • Ensure robust CI/CD processes for continuous integration and deployment of data engineering solutions.
  • Build both batch and streaming data ingestion pipelines leveraging GCP-native services.
  • Develop and maintain data consumption and exposure layers via views, APIs, and curated analytical datasets.
  • Collaborate with cross-functional teams to ensure data solutions are scalable, secure, and aligned with organizational standards.
  • Duration of assignment is 12 months, with a possible extension based on project needs and performance.

  • Seniority level

    Mid-Senior level

  • Employment type

    Contract

  • Job function

    Information Technology

  • Industries

    Banking and Financial Services

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