GCP Data Engineer: BigQuery + Cloud Pipelines Expert

Akkodis

Dearborn (MI)

Hybrid

USD 114,000 - 125,000

Full time

14 days+

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Job summary

Akkodis is seeking a seasoned Data Engineer for our client in Dearborn, Michigan. The role focuses on designing, developing, and supporting scalable data solutions for enterprise data collection, integration, transformation, storage, and analytics.

The candidate will build cloud-based data platforms, optimize data workflows, and ensure data quality and performance across the organization. Proven experience with Google Cloud Platform (GCP) and BigQuery is required, along with hands-on use of

Qualifications

  • 4+ years of Data Engineering experience.
  • Experience with data warehousing, modeling, ETL/ELT, ingestion and transformation.
  • Hands-on with GCP, cloud-native development and deployment.

Responsibilities

  • Translate data requirements into scalable data solutions.
  • Design, develop, and maintain data pipelines for ingestion and transformation.
  • Build data platforms including data warehouses and data lakes.
  • Develop data models supporting analytics and reporting.
  • Ingest and transform diverse data sources, landing into BigQuery.
  • Create stored procedures and DB objects for data processing.
  • Develop automation tools and scripts to improve workflows.
  • Utilize Cloud Functions, Data Fusion, Airflow, and Astronomer to orchestrate workflows.
  • Monitor and optimize data infrastructure for reliability and quality.
  • Identify opportunities for process improvements across data platforms.

Skills

Data engineering
ETL/ELT
SQL
BigQuery
GCP
Airflow
Data modeling
Automation
AI tools integration

Education

Bachelor's degree (IT/CS/Engineering)

Tools

GCP
BigQuery
Data Fusion
Apache Airflow
Astronomer
Cloud Functions
Vertex AI
Gemini Code Assist
GitHub Copilot
OpenCode

Job description

Akkodis is seeking a seasoned Data Engineer for our client in Dearborn, Michigan. The role focuses on designing, developing, and supporting scalable data solutions for enterprise data collection, integration, transformation, storage, and analytics.

The candidate will build cloud-based data platforms, optimize data workflows, and ensure data quality and performance across the organization. Proven experience with Google Cloud Platform (GCP) and BigQuery is required, along with hands-on use of

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