Gcp Data Engineer

Capgemini

Aguascalientes, Mexico
On-site
Gcp bigquery knowledge
Data warehouse design
Scalable etl pipelines
Design a cloud-based data warehouse using BigQuery to support analytical workloads

Job Summary

  • Design a cloud-based data warehouse using BigQuery to support analytical workloads.
  • Build a scalable ETL pipeline using PySpark on GCP that ingests raw data, applies transformations, and writes curated data to BigQuery.
  • Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology.

Matching Summary

Design a cloud-based data warehouse using BigQuery to support analytical workloads.

Skills & Requirements

Must-have

  • GCP BigQuery knowledge
  • Data warehouse design
  • Scalable ETL pipelines
  • Expert SQL and data modeling
  • Python production-level coding
  • Real-time data ingestion
  • Dataform for transformations

Nice-to-have

  • Data visualization and dashboarding
  • Independent learning aptitude
  • Troubleshooting complex issues
  • Advanced English level

Key Requirements

  • 3+ YOE in Data Engineering
  • Experience working with GCP
  • Experience working with Dataforms
  • Production level coding techniques

Work Rights

Not specified

Tailored Resume

Cover Letter