
Strategic Data Architectural Designer
2 weeks ago
We are seeking a skilled Data Engineer to design and develop scalable data processing systems that meet our organization's needs.
Key Responsibilities:
- Design, develop, and maintain large-scale data processing systems using cloud-based technologies like Google Cloud Platform.
- Develop and implement data pipelines using tools like Apache Beam, Big Query, and Dataflow.
- Collaborate with cross-functional teams to understand business requirements and deliver solutions that meet those needs.
- Work with data scientists to integrate machine learning models into production-ready workflows.
- Monitor and optimize system performance to ensure high availability and scalability.
- Stay up-to-date with industry trends and emerging technologies to continuously improve our data infrastructure.
Requirements:
- Bachelor's degree in Computer Science or 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, Cloud Storage, Dataflow, Dataproc, etc.
- 2+ years of professional development experience in Python.
- Strong understanding of data processing concepts, including data warehousing, ETL, and data integration.
- Excellent communication and collaboration skills.
Preferred Qualifications:
- Master's degree in Computer Science or related technical field.
- Professional certifications in data engineering or related fields.
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