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Senior Data Engineer (AWS to GCP)

Jobgether

seniorpermanentbackenddata United States 3 days ago via LinkedIn

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Tags

Google Cloud Platform (GCP)BigQueryApache AirflowCloud ComposerPythonSQLPySparkETL/ELTData QualityAWS to GCP Migration

About the role

Role overview

Senior Data Engineer responsible for building and evolving large-scale data products on a major cloud transformation.

  • Join a high-performing data engineering team in a media/streaming environment.
  • Migrate key data systems from AWS to Google Cloud Platform (GCP), then focus on optimization, performance tuning, and new data capabilities for business decision-making.

Responsibilities

  • Design, build, and maintain scalable data pipelines and data products on GCP with performance, reliability, and scalability.
  • Support migration of existing AWS-based data workloads to GCP with minimal disruption.
  • Develop and optimize ETL/ELT workflows using:
    • Python
    • SQL
    • PySpark (large-scale processing)
  • Build/maintain/enhance data transformations using:
    • BigQuery
    • Dataproc
  • Create and manage orchestration workflows using Apache Airflow (Cloud Composer).
  • Implement/improve data quality frameworks to ensure trusted outputs.
  • Collaborate with analysts, product owners, and engineers to translate business needs into data solutions.
  • Participate in code reviews, technical discussions, and continuous improvement.
  • Contribute to platform reliability, monitoring, documentation, and operational excellence.

Requirements

  • Strong commercial experience as a Data Engineer with cloud-based data platforms.
  • Hands-on expertise with GCP, especially BigQuery.
  • Proven experience building/maintaining Airflow pipelines (prefer Cloud Composer).
  • Strong Python skills and solid SQL expertise.
  • Experience with PySpark and distributed/large-scale data processing.
  • Understanding of data modelling and modern ETL/ELT design patterns.
  • Experience with Git-based workflows in collaborative environments.
  • Strong communication skills with technical and non-technical stakeholders.
  • Experience delivering in Agile environments.

Nice to have

  • Dataproc, Dataplex, Great Expectations (or similar) for data quality.
  • AWS experience (e.g., S3, MWAA, Databricks).
  • Experience in cloud migration projects.
  • Exposure to media/streaming/large-scale consumer platforms.

About Jobgether

Jobgether is a job-matching platform that uses an AI-powered system to match candidates to roles at partner companies. This listing is on behalf of a partner company building large-scale commercial data products in a media and streaming context.

Scraped 6/18/2026

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