Driven Brands Inc.
Automotive
Driven Brands Inc. is a leading provider of consumer and commercial automotive services, delivering a comprehensive range of car care solutions across over 5,000 brand locations. They service more than 70 million vehicles annually and offer a broad suite of services including paint, collision repair, glass replacement, oil changes, general vehicle maintenance, and car washes. The company's well-known brands include Take 5 Oil Change, Maaco, Meineke, CARSTAR, and 1-800-Radiator & A/C, among others. Driven Brands emphasizes convenience and customer satisfaction, positioning themselves as a one-stop shop for all automotive aftermarket needs. Founded with a strong heritage and a portfolio of trusted brands, Driven Brands also engages in franchise opportunities and charitable initiatives.
5001 - 10000 employees
Founded 1972
💰 Post-IPO Debt on 2022-10
Principal Business Intelligence Analyst
Job not on LinkedIn
November 13
Driven Brands Inc.
Automotive
Driven Brands Inc. is a leading provider of consumer and commercial automotive services, delivering a comprehensive range of car care solutions across over 5,000 brand locations. They service more than 70 million vehicles annually and offer a broad suite of services including paint, collision repair, glass replacement, oil changes, general vehicle maintenance, and car washes. The company's well-known brands include Take 5 Oil Change, Maaco, Meineke, CARSTAR, and 1-800-Radiator & A/C, among others. Driven Brands emphasizes convenience and customer satisfaction, positioning themselves as a one-stop shop for all automotive aftermarket needs. Founded with a strong heritage and a portfolio of trusted brands, Driven Brands also engages in franchise opportunities and charitable initiatives.
5001 - 10000 employees
Founded 1972
💰 Post-IPO Debt on 2022-10
📋 Description
• Design, develop, and maintain robust, scalable, and efficient data pipelines using modern data engineering tools and frameworks • Architect and implement data models and semantic layers for use by analytics teams • Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions • Optimize data systems for performance, scalability, and cost-efficiency • Ensure data quality, integrity, and security across all data platforms • Mentor junior data engineers and contribute to best practices and coding standards • Monitor and troubleshoot data pipeline issues and implement proactive solutions • Design and implement effective monitoring capabilities across pipelines and models • Stay current with emerging technologies and industry trends in data engineering
🎯 Requirements
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field • 5+ years of experience in data engineering or a similar role • Proficiency in programming languages such as Python or Java • Strong experience with SQL and relational databases • Experience with cloud platforms (e.g., GCP, AWS) and data services (e.g., BigQuery, Snowflake) • Familiarity with data orchestration tools (e.g., Airflow, Composer, DataForm) • Solid understanding of data modeling, ETL/ELT processes, and data warehousing concepts • Must be able to effectively communicate and collaborate with stakeholders
🏖️ Benefits
• Health and wellness benefits including paid time off • Holiday pay • Get early access to 50% of earned wages through myFlexPay program
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