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Google Cloud Platform Data Engineer - Direct Client - Banking - Remote - W2

Remote, USA Full-time Posted 2025-05-22

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Outcome Logix LLC, is seeking the following. Apply via Dice today!

    Responsibilities
  • Design, develop, and implement scalable data pipelines and associated processes using Google Cloud Platform (Google Cloud Platform) services
  • Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions
  • Build and maintain data architecture to support the new data product
  • Optimize and enhance data processing workflows for performance, reliability, and scalability
  • Ensure data quality, integrity, and security throughout the data lifecycle
  • Monitor and troubleshoot data pipelines and systems to ensure smooth operation
  • Document technical specifications, processes, and workflows for future reference and knowledge sharing
    Qualifications
  • Experience
  • Realtime and batch data integration development experience using Google Cloud Platform services
  • Experience extracting, transforming, and loading data from various types of sources
  • Demonstrated ability to lead projects and teams, with experience as a technical lead or similar leadership role
  • Preferred: financial services industry experience
  • Technical skills
  • SQL
  • Google BigQuery
  • Google Cloud Data Pipeline Tools (such as Google Cloud Datastream, DataFlow etc.)
  • Google Cloud Composer
  • Google Cloud Run
  • GitHub
  • Python
  • Teraform
    Preferred
  • DBT Open Source
  • Google Pub/Sub
  • Salesforce data integration experience
  • Oracle/SQL server data integration experience
  • Soft Skills
  • Exceptional communication and interpersonal skills, with the ability to engage and influence business stakeholders
  • Strong personality and polished presence, capable of driving collaboration and alignment across teams
  • Thought leadership and ability to inspire teams and stakeholders in data transformation initiatives
  • Work Environment
  • Familiarity with Agile methodologies, including participation in daily stand-ups and iterative development cycles
  • Ability to work effectively in a fast-paced, collaborative prefer

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