Senior Data Engineer (AWS to GCP)
Jobgether
seniorpermanentbackenddata United States 3 days ago via LinkedIn
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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