[Hiring] Senior Data Engineer @Sherwin-Williams

Role Description

The Senior Data Engineer is responsible for designing, building, and maintaining the systems and infrastructure that enable organizations to collect, store, process, and analyze large volumes of data. This role involves collaborating closely with data scientists, analysts, QA engineers, business process / functional SMEs, and other stakeholders to ensure that data is accessible, reliable, and secure. They are responsible for tasks such as:

• Data ingestion
• Data transformation
• Data integration
• Data pipeline development

Senior Data Engineers also play a crucial part in data governance, ensuring that data is compliant with regulations and policies. This role includes all aspects of software development and deployment of IT Operations to shorten delivery and time to market for data products, data pipelines, and data warehousing. Overall, the incumbent helps organizations leverage their data to gain meaningful insights and make informed decisions.

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
• Stay up-to-date with emerging technologies and trends in data engineering, evaluating their potential impact on our data infrastructure
• Collaborate with cross-functional teams to integrate data sources and enable seamless data flow across systems
• Work with data scientists, analysts, and stakeholders to understand data requirements and develop scalable data solutions
• Implement and maintain data governance and security measures to protect sensitive information
• Ensure data quality and integrity by implementing effective data validation and cleansing techniques

Qualifications

• 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
• 4+ years of data engineering experience
• 2+ years of experience with SQL including, but not limited to: PostgreSQL, T-SQL, PL/SQL, SNOWSQL
• 2+ years of experience with building applications, system integrations, and web services
• 2+ years of experience with server-side scripting and programming in a Linux environment (primarily bash shell)
• Advanced understanding of common database technologies (Oracle, Snowflake) including performance, tuning, and optimization
• Advanced data manipulation skills and experience with on-prem and cloud-based data warehouse ETL tools and processes
• Basic understanding of business processes such as OTC, P2P, PIM to understand context of data usage
• Must be at least 18 years of age
• Must be legally authorized to work in the country of employment without needing sponsorship for employment work visa status now or in the future

Benefits

• Life … with rewards, benefits and the flexibility to enhance your health and well-being
• Career … with opportunities to learn, develop new skills and grow your contribution
• Connection … with an inclusive team and commitment to our own and broader communities

A general description of benefits offered can be found at http://www.myswbenefits.com/ . Click on “Candidates” to view benefit offerings that you may be eligible for if you are hired as a Sherwin-Williams employee.