Data Engineer

4 weeks ago

Mentor, United States Race Winning Brands Full time
Job DescriptionJob DescriptionDescription:

Race Winning Brands has an immediate opening for a Data Engineer to join our business intelligence team. The ideal candidate will have a strong background in data architecture, database design , data warehousing, data integration development, and ETL (Extract, Transform, Load) processes. The data engineer will collaborate with cross-functional teams to design and implement scalable data solutions that meet the needs of our growing business.


This position is hybrid - qualified candidates will need to be able to travel to Mentor, OH 1-3x a week


PM21

Requirements:

Responsibilities:

  • Build and optimize data models for performance and efficiency.
  • Design data warehouse solutions for storing and accessing large volumes of structured and unstructured data.
  • Design, develop, and maintain data integrations and ETL processes to support data-driven applications and analytics.
  • Implement data quality and validation procedures to ensure data accuracy and consistency.
  • Collaborate with the business intelligence team and other stakeholders to understand data requirements and implement solutions.
  • Monitor and troubleshoot data pipeline issues, performance bottlenecks, and system errors.
  • Stay current with emerging technologies and best practices in data engineering and analytics.


Qualifications:

  • Bachelor's degree in Computer Science/Information Systems, Engineering, or a related field.
  • Proven experience as a data engineer or similar role, with a minimum of 5 years of experience.
  • Strong understanding of database concepts and data modeling techniques.
  • Proficiency in SQL and experience with relational and non-relational databases.
  • Proficiency in the Microsoft Data Stack (SSAS, SSIS).
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration skills with the ability to work effectively in a team environment.


Preferred Qualifications:

  • Experience with data visualization tools (Power BI and SSRS).
  • Experience with building/supporting an iPaaS solution (Jitterbit).
  • Knowledge of AI/machine learning techniques and concepts.
  • Experience with database administration
  • Experience with cloud platforms (Azure).
  • Knowledge of big data technologies



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