Description

You will drive the migration of legacy data warehouses to Google Cloud platforms for a major telecommunications provider.

Responsibilities

  • Architect and develop complex ETL pipelines within Google Cloud data environments.
  • Design data pipelines for underlying data warehouses and specialized data marts.
  • Collaborate with Data Product Managers and Architects to deliver end-to-end data solutions.
  • Maintain detailed documentation to support data quality, governance, and deployment activities.
  • Support QA, UAT testing, and deployment to higher environments while meeting SLAs.

Required Skills

  • 8+ years of data engineering experience developing large-scale pipelines in complex environments.
  • Expert-level SQL skills with the ability to build complex transformations in BigQuery.
  • Strong Python programming skills for automating jobs and pipeline development.
  • Hands-on experience with Google Cloud technologies including BigQuery, GCS, Dataflow, Pub/Sub, Data Fusion, and Cloud Functions.
  • Experience with Airflow for building and debugging complex job orchestration.
  • Ability to optimize queries within BigQuery environments.
  • Exposure to Teradata and the ability to interpret complex Teradata BTEQ scripts.
  • Proficiency with Git/GitHub for version control.
  • Familiarity with Data Modeling, Data Warehousing methodologies, and Agile/Scrum practices.

Preferred Skills

  • Experience with GCP Data Proc and Bash scripting.
  • Ability to lead teams in an onsite/offshore delivery model.

Key Skills
Education

Any Gradute

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