
Senior Data Systems Architect
4 days ago
Job Summary:
We are seeking a highly skilled Data Engineer to lead our data systems and drive business outcomes.
The ideal candidate will have strong experience in designing and implementing large-scale data pipelines using Python and GCP Cloud Run.
- Main Responsibilities:
- Data Engineering: Design, implement, and maintain scalable and efficient data pipelines that meet business requirements.
- Collaboration: Work closely with cross-functional teams to identify business needs and develop solutions that deliver value.
- Agile Methodologies: Participate in continuous integration and delivery processes using agile methodologies.
- Code Development: Develop high-quality, reusable code that adheres to best practices and standards.
- Code Reviews: Participate in code reviews to ensure adherence to coding standards and best practices.
- Tech Stewardship: Maintain up-to-date knowledge of industry trends, technologies, and tools, and apply this knowledge to improve existing systems and processes.
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 (or equivalent) 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.
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