Data Engineer - TechDigital
Minneapolis, MN
About the Job
Required Qualifications:
- Bachelor's or master's degree in Computer Science, Data Science, Computer Engineering, or a related field.
- At least 5 years of experience in software development and data engineering, with a proven track record in data warehouse management.
- Advanced skills in JavaScript, and Python, and familiarity with modern programming frameworks and technologies.
- In-depth knowledge of Snowflake, data lakes, and other data warehousing technologies.
- Expertise in developing and maintaining RESTful APIs and web service integration.
- Solid understanding of Docker/Kubernetes for deployment, and databases (Postgres, MySQL).
Preferred Qualifications:
-Ability to work autonomously, efficiently, and accurately in a dynamic, fast-paced environment.
-Excellent problem-solving skills with a keen analytical mindset suitable for tackling complex data challenges.
-Demonstrated experience in architecting full-stack applications for Business Intelligence (BI) insights in an enterprise environment, emphasizing the integration of front-end analytics platforms with back-end data warehousing and processing technologies to drive data-driven decision-making
- Bachelor's or master's degree in Computer Science, Data Science, Computer Engineering, or a related field.
- At least 5 years of experience in software development and data engineering, with a proven track record in data warehouse management.
- Advanced skills in JavaScript, and Python, and familiarity with modern programming frameworks and technologies.
- In-depth knowledge of Snowflake, data lakes, and other data warehousing technologies.
- Expertise in developing and maintaining RESTful APIs and web service integration.
- Solid understanding of Docker/Kubernetes for deployment, and databases (Postgres, MySQL).
Preferred Qualifications:
-Ability to work autonomously, efficiently, and accurately in a dynamic, fast-paced environment.
-Excellent problem-solving skills with a keen analytical mindset suitable for tackling complex data challenges.
-Demonstrated experience in architecting full-stack applications for Business Intelligence (BI) insights in an enterprise environment, emphasizing the integration of front-end analytics platforms with back-end data warehousing and processing technologies to drive data-driven decision-making
Source : TechDigital
