
Senior Data Systems Developer
16 hours ago
Role Summary:
This position involves designing and implementing large-scale data processing systems using Google Cloud Platform services such as BigQuery, Dataflow, and Dataproc.
Collaboration with cross-functional teams to implement data-driven solutions and analytics products is also a key aspect of this role.
Key Responsibilities- Designing, developing, and maintaining complex data pipelines using Python, Airflow, and Terraform.
- Collaborating with stakeholders to understand business requirements and develop solutions that meet those needs.
- Developing and optimizing large-scale data processing systems using GCP services.
- 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 GCP experience with solutions designed and implemented at production scale.
- Experience working in GCP native services like BigQuery, 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.
- Bachelor's degree in Computer Science, Engineering, or a related technical field.
Professional development is an ongoing process. If you have the required skills, we encourage you to apply.
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