Job Description

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

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

PI581de9a6269e-30492-34517213

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