Senior Data Engineer

The Sr. Data Engineer role is responsible for the management and delivery of data across the enterprise as part of the Global Data Management Platforms & Technologies team. We’re seeking a candidate that is constantly challenging the status quo and seeking out innovation in an ever-evolving BI environment.

CORE RESPONSIBILITIES AND TASKS        

Strategy & Planning

• Full life cycle experience (requirements gathering through production deployment) in all aspects modern data warehousing, ETL, ELT, data modeling, analytics and of BI.

Execution & Deployment

• Design and develop or modify & performance tune data loads via ETL / ELT processes to the data warehouse. 

Operational Management

• Leverage technology to collaborate & build rapport with the fellow engineers that are based in United Kingdom, Malaysia, Mexico & across USA.
• Execute project plans to successfully meet objectives, assist in data loads support activities, issue tracking, escalation and resolution.

POSITION REQUIREMENTS

1.FORMAL EDUCATION: 

Required:

• Bachelor’s degree or foreign equivalent in a related field.

2.KNOWLEDGE & EXPERIENCE:

Required:

• 5+ years IT experience.
• 5+ years industry experience as a data engineer or related specialty (e.g., software engineer/developer, business intelligence developer, data science engineer) with a track record of manipulating, processing, and extracting value from large datasets.
• 3+ years of experience in scripting and optimizing advanced Oracle SQL & PL/SQL.
• 2+ years of experience in Snowflake, Relevant certifications in Snowflake or cloud platforms. 
• 2+ years of experience with ETL tools; Proficiency with ETL tools such as IDMC / IICS, ODI, SSIS, Informatica. (IDMC / IICS and ODI preferred).
• Strong experience with UNIX/Linux scripts.
• Proficiency in at least one of the following languages: Python, R, Scala.
• Cloud platforms: Exposure with Cloud data solutions, architecture, and their interdependencies for BI & analytic use. Experience with Microsoft Azure & Snowflake DW is a plus. 
• Hands-on experience or good knowledge to build data sources for Tableau.

Preferred:

• Experience in Snowflake and Oracle, Relevant certifications in Snowflake or cloud platforms.
• Experience in cloud-based data platforms and technologies.
• Understanding of Star schema data warehouse modeling using the Kimball Methodology.
• Experience in statistical, predictive modelling and machine learning techniques.
• Experience developing Oracle Application Express (APEX) applications.

Personal Attributes

• Work with cross-functional teams for the most impactful BI, data warehousing and data science projects. 
• Skilled at identifying a vaguely defined problem and reaching clarity by building alignment within the relevant teams.
• Strong communication skills to understand the problems of, and provide solutions to, both technical and non-technical stakeholders.
• Exceptional ability and initiative to learn and research new concepts, ideas, and technologies quickly.
• Ability to facilitate meetings and follow up with resulting action items.
• Good presentation and interpersonal skills. 
• Ability to work effectively in a multi-cultural environment, and to lead and influence cross-organizationally with and without direct authority.

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. We’ll give you the space to share your strengths and we want you to show us what you can do. You can innovate, grow and discover in a place where you can thrive!
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.