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

Work from home Full-time role Hiring

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

Apply Job!

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