Data Engineer Snowflake
4 weeks ago
THIS IS A LONG TERM CONTRACT POSITION WITH ONE OF THE LARGEST, GLOBAL, TECHNOLOGY LEADER.
Our large, Fortune client is ranked as one of the best companies to work with, in the world. The client fosters progressive culture, creativity, and a Flexible work environment. They use cutting-edge technologies to keep themselves ahead of the curve. Diversity in all aspects is respected. Integrity, experience, honesty, people, humanity, and passion for excellence are some other adjectives that define this global technology leader.
In this role, you will leverage your expertise in machine learning, data analytics, and software development.
Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or related field.
- 5+ years of Data engineering with machine learning experience
- Proficiency in Python, snowflake, DBT.
- Strong documentation skills to hand-off code and software architecture
- Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.
- Experience with big data technologies like Hadoop, Spark, or similar.
- Experience with version control systems like Git.
- Familiarity with continuous integration and continuous delivery (CI/CD) practices.
- Excellent interpersonal, communication, and presentation skills.
Responsibilities
- Migration of machine learning models from Spark to Snowflake.
- Implement robust testing and validation frameworks to ensure the accuracy, reliability, and scalability of ML models in production.
- Work closely with the data science and engineering team to understand and define project requirements.
- Leverage snowflake and snowpark libraries and analyze data sets.
- Documenting all steps in the development process.
- Assist in the collection and cleaning of new data.
- Communicate complex quantitative analysis in a clear, precise, and actionable manner.
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