
Building Scalable Data Solutions
1 week ago
We are seeking an experienced data engineer to design, build, and maintain large-scale data processing systems.
Key Responsibilities:
- Design scalable data pipelines using Python, Dataproc, and GCP Cloud Run.
- Collaborate with cross-functional teams to gather requirements and develop data solutions.
- Work closely with data analysts and scientists to ensure data quality and accuracy.
- Develop and maintain data models, ETL processes, and data warehouses using Big Query and Data Fusion.
- Implement security, access control, and data governance policies in GCP.
Requirements:
- Bachelor's degree in Computer Science, Engineering, or a related technical field.
- 5+ years of SQL development experience.
- 5+ years of analytics/data product development experience required.
- 3+ years of Google cloud experience with solutions designed and implemented at production scale.
- Experience working in GCP native services like Big Query, Google Cloud Storage, Dataflow, Dataproc, etc.
- 2+ Experience working with Airflow for scheduling and orchestration of data pipelines.
- 1+ Experience working with Terraform to provision Infrastructure as Code.
- 2 + years professional development experience in Python.
Preferred Qualifications:
- Bachelor's Degree.
About This Role:
This is a challenging opportunity to leverage your expertise in designing and implementing large-scale data processing systems. If you have experience working with cloud-based technologies and possess strong analytical skills, we would love to hear from you.
What We Offer:
- A collaborative work environment that encourages innovation and creativity.
- Opportunities for growth and professional development.
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