Cloud Data Engineer
21 hours ago
At Xpertise Recruitment, we are looking for talented Cloud Data Engineers to join our team. As a Cloud Data Engineer, you will play a crucial role in designing, developing, and maintaining large-scale data systems on the Google Cloud Platform. With a strong focus on scalability, reliability, and performance, you will work closely with cross-functional teams to deliver high-quality solutions that meet the evolving needs of our clients.
About the Role
We offer a competitive salary range of $120,000 - $220,000 per year, depending on experience. You will have the opportunity to work on diverse projects across various industries, including finance, telecommunications, retail, energy, and the public sector. Our remote-based team is based in Chicago, IL, Dallas, TX, and Detroit, MI, offering a great work-life balance. Whether you want to advance your career in architecture, stay hands-on, dive into data science, or explore management and strategy, our possibilities are endless
Requirements
To be successful in this role, you will need:
- Familiarity with Google Cloud Platform (GCP) services such as BigQuery, Dataflow, Pub/Sub, Cloud Data Fusion, and Looker Studio.
- In-depth knowledge of ETL processes, data architecture, and pipeline design.
- Experience with GCP-compatible tools like dbt, Apache Beam, Airflow, and Kubernetes.
- Proficiency in SQL and/or Python for automation and data manipulation.
- Knowledge of Java or Scala is a plus.
- Experience with Looker Studio, Tableau, or similar data visualization tools.
- Exposure to Terraform, Docker, or similar tools to deploy and manage cloud resources efficiently.
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