The Senior Data Engineer role at Sherwin-Williams is looking to solve the problem of designing, building, and maintaining systems and infrastructure to enable organizations to collect, store, process, and analyze large volumes of data, while ensuring data accessibility, reliability, and security.
Requirements
- 4-6+ years of data engineering experience
- 2-4 years of experience with SQL including, but not limited to: PostgreSQL, T-SQL, PL/SQL, SNOWSQL
- 2-4+ years of experience with building applications, system integrations, and web services
- 2-4+ years of experience with server-side scripting and programming in a Linux environment (primarily bash shell)
- Advanced understanding of common database (Oracle, Snowflake) technologies including performance, tuning, and optimization
- Data security
- Automated testing tools
Responsibilities
- Partner with a team of data engineers, providing technical guidance, mentorship, and support
- Act as a technical point of contact for clients and stakeholders, providing updates and addressing any data related technical inquiries or concerns
- Design, develop, and maintain efficient and robust data pipelines, ETL processes, and data workflows
- Develop and maintain data models and schema designs to support data storage and retrieval needs
- Optimize data storage, processing, and retrieval mechanisms for performance and scalability
- Provide technical leadership and guidance in the selection and implementation of data engineering tools and technologies
- Identify and implement best practices and standards for data engineering processes and tools
Other
- Bachelor’s degree in Computer Science, Computer Engineering, or Information Technology or in lieu of a degree, at least 7 years of experience in data engineering
- Travel: 5%
- This position is not eligible for sponsorship for work authorization now or in the future, including conversion to H1-B visa
- This position can be located in Cleveland, OH or 100% remote
- Job duties include contact with other employees and access confidential and proprietary information and/or other items of value
