Data Technology Engineer

Mondelēz International

Google cloud platform (gcp)
Python development skills
Apache airflow
The Senior Data Technology Engineer will be a key member of the Data COE within the Technology Enablement team, responsible for designing, building, and optimizing enterprise-scale data onboarding platforms

Job Summary

  • The Senior Data Technology Engineer will be a key member of the Data COE within the Technology Enablement team, responsible for designing, building, and optimizing enterprise-scale data onboarding platforms.
  • This role demands deep expertise in Google Cloud Platform (GCP), strong Python development skills, and hands-on experience with modern data engineering tools such as Apache Airflow, GCP Composer, GKE, and DataProc.
  • The engineer will collaborate with cross-functional teams to deliver robust data ingestion, transformation, and orchestration frameworks, ensuring observability, governance, and automation across the enterprise data ecosystem.

Matching Summary

The Senior Data Technology Engineer will be a key member of the Data COE within the Technology Enablement team, responsible for designing, building, and optimizing enterprise-scale data onboarding platforms.

Skills & Requirements

Must-have

  • Google Cloud Platform (GCP)
  • Python development skills
  • Apache Airflow
  • GCP Composer
  • GKE
  • DataProc
  • enterprise-scale data onboarding platforms
  • data ingestion, transformation, and orchestration frameworks

Nice-to-have

  • drive your future
  • accelerate your career
  • methodical approach
  • innovative
  • explore new solutions
  • Agile delivery mindset

Key Requirements

  • 6+ years of data engineering experience
  • 5 years working with Python, PySpark, GCP BigQuery, and Databricks
  • Backend development experience in Python
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related discipline
  • Proven experience with building internal development platforms

Work Rights

Not specified

Tailored Resume

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