IT Lead Data Engineer

The Sherwin-Williams Company • Cleveland, OH • 7h ago

The Lead Data Engineer is responsible for leading in the designing, building, and maintaining of 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, and data pipeline development. Lead Data Engineers also play a crucial part in data governance, ensuring that data is compliant with regulations and policies. This role also includes all aspects of software development and deployment of IT Operations to shorten delivery and time to market for data products and data pipelines and data warehousing. Overall, the incumbent helps organizations leverage their data to gain meaningful insights and make informed decisions.
Lead and manage a team of data engineers, providing technical guidance, mentorship, and support
Act as a Subject Matter expert for clients and stakeholders, providing updates and addressing any data related technical inquiries or concerns
Oversee and drive the design, development, and maintenance of efficient and robust data pipelines, ETL processes, and data workflows
Manage the development and maintenance of 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
Lead the Collaboration with cross-functional teams to integrate data sources and enable seamless data flow across systems and with data scientists, analysts, and stakeholders to understand data requirements and develop scalable data solutions
Lead the implementation and maintenance of data governance and security measures to protect sensitive information and to ensure data quality and integrity by implementing effective data validation and cleansing techniques
This position is not eligible for sponsorship for work authorization now or in the future, including conversion to H-1B visa.
This position is eligible to work in the office three days a week and has the option to work remotely two days a week.
Job duties include contact with other employees and access confidential and proprietary information and/or other items of value, and such access may be supervised or unsupervised. The company therefore has determined that a review of criminal history is necessary to protect the business and its operations and reputation and is necessary to protect the safety of the Company's staff, employees, and business relationships.
Education
Required
Bachelor's degree in Computer Science, Computer Engineering, or Information Technology or in lieu of a degree, at least 9 years of experience in data engineering.
Skills and Experience
Required
6-8+ years of data engineering experience.
4-6+ years of experience with SQL including, but not limited to: PostgreSQL, T-SQL, PL/SQL, SNOWSQL
4-6+ years of experience with building applications, system integrations, and web services
4-6+ years of experience with server-side scripting and programming in a Linux environment (primarily bash shell)
Experience with common database (Oracle, Snowflake) technologies including performance, tuning, and optimization.
Experience with data manipulation and on-prem and cloud-based data warehouse ETL tools and processes
Experience with business processes such as OTC, P

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