Sherwin-Williams

Senior Data Engineer

Sherwin-Williams
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8 months ago
Kuala Lumpur, MalaysiaSenior

Responsibilities

  • Manage and deliver enterprise data solutions as part of the Global Data Management Platforms & Technologies team.
  • Design, develop, modify, and performance-tune data loads through ETL/ELT and CI/CD processes.
  • Deliver full-lifecycle modern data warehousing solutions, including requirements, design, development, testing, and deployment.
  • Develop enterprise data integrations, dimensional and relational data models, data domain architectures, data lake analytics, and BI solutions.
  • Work with Apache Iceberg tables, Control-M scheduling, cloud data solutions, and enterprise BI platforms.
  • Build data sources and data models for Tableau, Power BI, and OBIEE.
  • Support data loads, issue tracking, escalation, resolution, and execution of project plans.
  • Collaborate with engineers and cross-functional teams across the United Kingdom, Malaysia, Mexico, and the United States.
  • Lead and influence cross-organizationally, facilitate meetings, and follow up on resulting action items.

Requirements

  • Bachelor’s degree or foreign equivalent in a related field is required.
  • At least 5 years of IT experience and 5 years of industry experience as a data engineer or related professional.
  • At least 3 years of experience scripting and optimizing advanced Oracle SQL and PL/SQL.
  • At least 2 years of experience with Snowflake and ETL tools.
  • Proficiency with ETL tools such as IDMC/IICS, ODI, SSIS, or Informatica, with IDMC/IICS and ODI preferred.
  • Strong experience with UNIX/Linux scripts.
  • Proficiency in at least one of Python, R, or Scala.
  • Experience with cloud data solutions, architecture, and interdependencies supporting BI and analytics.
  • Experience with Microsoft Azure and Snowflake data warehousing is a plus.
  • Experience with dimensional modeling using Kimball methodology and scalable, modular data pipelines for structured and semi-structured data.
  • Experience in statistical modeling, predictive modeling, and machine learning techniques is preferred.
  • Experience developing Oracle Application Express applications is preferred.
  • Relevant Snowflake or cloud-platform certifications are preferred.
  • Strong communication, presentation, interpersonal, research, facilitation, and cross-cultural collaboration skills are required.

Tech Stack

AzureInformaticaLinuxPythonRScalaSnowflakeSQL

Categories

Data Engineering
Sherwin-Williams

About Sherwin-Williams

10,000+ employees

Sherwin-Williams manufactures and sells paints, coatings, and related products for homeowners, professional contractors, and industrial/OEM customers. It goes to market through company-owned retail stores, commercial sales and distribution, and specialty brands serving architectural, automotive refinish, and industrial and marine applications. Founded in 1866 and headquartered in Cleveland, Ohio, Sherwin-Williams is a public company listed on the NYSE.

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