
Senior Data Solutions Engineer
7 days ago
We are seeking an experienced professional to design, develop, and deploy large-scale data processing pipelines using technologies such as Cloud Run, Dataproc, and Dataflow.
The ideal candidate will have a strong background in software development and data engineering, with expertise in designing scalable data systems.
Key Responsibilities:
- Designing, developing, and deploying large-scale data processing pipelines.
- Working closely with cross-functional teams to understand business requirements and design data solutions that meet those needs.
- Collaborating with data scientists to develop and deploy machine learning models.
- Maintaining and optimizing existing data infrastructure.
To be successful in this role, you will need to possess the following skills and qualifications:
- Bachelor's degree in Computer Science, Engineering, or a related technical field.
- 5+ years of experience in SQL development and analytics/data product development.
- 3+ years of experience working with Google Cloud Platform (GCP) services.
- Experience working with Airflow for scheduling and orchestration of data pipelines.
- 1+ year of experience working with Terraform to provision Infrastructure as Code.
- Professional development experience in Python.
As a member of our team, you can expect:
- A competitive salary.
- A comprehensive benefits package.
- Ongoing training and professional development opportunities.
Our company is a leading provider of innovative solutions for the digital age. We are dedicated to helping businesses succeed by providing cutting-edge technology and expert consulting services.
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