Senior Data Engineer

ABOUT THE ROLE:

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, and 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 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.

WHAT THE ROLE WILL DO:

• 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 and 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 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 H1-B visa.

This position has a hybrid work schedule with three days in the office and the option for working remotely two days.

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.

Travel: 5%

WHAT THE INCUMBENT WILL NEED:

• Education
  • Required
    • 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. 
  • Preferred
    • Experience with data engineering tools, experience with ETL/ELT tools like IDMC, and programming languages like Python and SQL, working knowledge of Jira for task tracking and deep understanding of data architecture principles, experience with cloud technologies like Snowflake and Azure

Required Knowledge, Skills, and Experience

Knowledge & Experience

• 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 (specifically, 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.
• 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

Technical Skills 

• Data security
• Automated testing tools
• Version control tools

Preferred Knowledge, Skills, and Experience 

• 4-6 years’ experience with IDMC, programming languages like Python, Bash and SQL
• 4-6 years’ experience with data engineering principles and Data Quality Principles
• 2-4 years’ experience with Cloud Platforms like Azure and Snowflake
   

Here, we believe there’s not one path to success, we believe in careers that grow with you. Whoever you are or wherever you come from in the world, there’s a place for you at Sherwin-Williams. We provide you with the opportunity to explore your curiosity and drive us forward. Sherwin-Williams values the unique talents and abilities from all backgrounds and characteristics. All qualified individuals are encouraged to apply, including individuals with disabilities and Protected Veterans. We’ll give you the space to share your strengths and we want you show us what you can do. You can innovate, grow and discover in a place where you can thrive and Let Your Colors Show!  At Sherwin-Williams, part of our mission is to help our employees and their families live healthier, save smarter and feel better. This starts with a wide range of world-class benefits designed for you. From retirement to health care, from total well-being to your daily commute—it matters to us. 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. Compensation decisions are dependent on the facts and circumstances of each position, which will impact where actual compensation may fall within the stated wage range. The wage range listed for this role takes into account the wide range of non-discriminatory factors considered in making compensation decisions including geographic location; skill sets; experience and training; licensure and certifications; and other business and organizational needs. The wage range, other compensation, and benefits information listed is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable federal, state, and local laws including with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act where applicable. Sherwin-Williams is proud to be an Equal Employment Opportunity/Affirmative Action employer committed to an inclusive and diverse workplace. All qualified candidates will receive consideration for employment and will not be discriminated against based on race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, pregnancy, genetic information, creed, marital status or any other consideration prohibited by law or by contract. As a VEVRAA Federal Contractor, Sherwin-Williams requests state and local employment services delivery systems to provide priority referral of Protected Veterans. Please be aware, Sherwin-Williams recruiting team members will never request a candidate to provide a payment, ask for financial information, or sensitive personal information like national identification numbers, date of birth, or bank account numbers during the application process.