Data Science Engineer
3 weeks ago
Company Overview: Spinnaker Analytics is a leading predictive analytics and artificial intelligence company that leverages its expertise to develop innovative analytic products and decision-making tools for various industries. We're seeking skilled Data/ML-Ops Engineers to join our team.
Job Responsibilities
- Analyze raw data, identify and address quality issues, and ensure data quality using SQL, Python libraries, and other data manipulation tools.
- Design, develop, and maintain data pipelines for data extraction, transformation, and loading (ETL) to deliver high-quality data sets.
- Collaborate with data scientists and business users to understand data structures, variables, and systems.
- Troubleshoot data-related technical issues and automate manual data processes for efficiency.
- Define user access and ensure data distribution to the right users in the appropriate format and timeframe.
Technical Skills & Requirements
- 2+ years of experience in data manipulation and wrangling for analytics.
- Proficiency in SQL or NoSQL databases.
- Strong understanding of data structures and design principles.
- Experience with Python libraries for data manipulation and Azure cloud tools.
- Experience in containerizing solutions for CI/CD flows using Azure Containers and Docker.
Desirable Skills
- Certification in MS SQL or a similar data warehousing or data management solution.
- Familiarity with cloud platforms and data warehousing concepts.
- Knowledge of data version control systems.
- Excellent collaboration skills and positive problem-solving approach.
About Us
At Spinnaker Analytics, we're passionate about building predictive models and algorithms to solve critical business challenges. Our team is dedicated to delivering innovative analytic products and decision-making tools that drive business success.
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