About the job
The Mid-Level Data Engineer job is an exciting opportunity to join a dynamic Data Engineering team. In this role, you will work with cloud technologies to build scalable data pipelines and collaborate with both technical teams and senior stakeholders. The team values clear communication and collaboration, ensuring that everyone is aligned and informed throughout the journey.
You'll be responsible for
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Developing and maintaining data pipelines
Developing, deploying, and maintaining data pipelines and ETL processes on Google Cloud Platform (GCP) using Cloud Composer (Apache Airflow) and dbt with Python.🚀
Supporting CI/CD pipelines
Supporting CI/CD pipelines (Buildkite preferred) to ensure reliable and automated code deployment while managing Git repositories and linking changes to Jira service requests.🤝
Collaborating with teams
Collaborating with analysts and data scientists to enable access to structured and unstructured data while following data governance and security best practices.Key criteria
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2-3 years of data engineering experience
Demonstrated experience in data engineering and ETL processes.View
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GCP services knowledge
Familiarity with Google Cloud Platform services like BigQuery.View
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Python and dbt proficiency
Experience using Python and dbt for ETL model development.View
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