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Data Engineer or Data Scientist (BigQuery/GCP)

  • Cincinnati, OH, United States

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Job details

Experience
4–7 years of professional experience in Data Engineering, with recent work in BigQuery and GCP
Posting language
English
Posted

Original job description

Fusion HCR is Hiring! We are looking for Data Engineers or Data Scientists who have hands on experience with BigQuery and/or Google Cloud Platform (GCP). Full-time role within a Fortune 500 business with leading 401k match, profit sharing retirement program, PTO, medical/dental/vision.

Key Responsibilities

  • Design, develop, and optimize robust data pipelines in BigQuery and Google Cloud Platform (GCP)
  • Extract and transform data from ERP systems (SAP)
  • Implement ELT/ETL workflows using Dataflow, dbt, Airflow, or similar tools
  • Perform data modeling and schema design optimized for reporting and self-service analytics
  • Ensure quality, consistency, and security of SAP and non-SAP data across the pipeline
  • Partner with analysts and business users to make SAP data more accessible and actionable
  • Monitor and optimize BigQuery performance (storage, compute, cost)
  • Create and maintain technical documentation and support data governance initiatives

Required Qualifications

  • 4–7 years of professional experience in Data Engineering, with recent work in BigQuery and GCP
  • Hands-on experience integrating data from ERP environments
  • Advanced SQL skills and experience writing complex queries in BigQuery
  • Proficiency in Python or Java for data processing and scripting
  • Experience with ETL/ELT tools such as Apache Beam, dbt, Airflow, or Dataflow
  • Strong understanding of data warehousing, data structures, and dimensional modeling
  • Ability to collaborate effectively with both technical and non-technical teams

Preferred Qualifications

  • Knowledge of SAP (ECC, S/4 HANA, BW, SAP Data Services)
More about this job

Skills

  • BigQuery
  • Google Cloud
  • ERP
  • SAP
  • Data engineering
  • dbt
  • Apache Airflow
  • Data modelling
  • Reporting
  • Documentation
  • SQL
  • Python
  • Oracle Java
  • Process data
  • Data warehousing
  • SAP Data Services

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