Senior Data Engineer at Sherwin-Williams – Wilayah Persekutuan Kuala Lumpur | Jobyssey

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

Extensive full life-cycle expertise (requirements → design → development → testing → deployment) in modern data warehousing, including ETL/ELT development, CI/CD automation, enterprise data integration, dimensional and relational data modelling, data domain architecture, data lake analytics, Apache Iceberg tables, Control‑M scheduling, and enterprise BI solutions.

Execution & Deployment

Design and develop or modify & performance tune data loads via ETL / ELT CI/CD 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

FORMAL EDUCATION:

Required:

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

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 in building data sources and data models for Tableau, Power BI, and OBIEE.

Preferred:

Experience in Snowflake and Oracle, Relevant certifications in Snowflake or cloud platforms.
Experience in cloud-based data platforms and technologies.
Proficient in dimensional modeling using the Kimball methodology (star/snowflake schemas) and in building scalable, modular data pipelines leveraging Medallion architecture for structured and semi‑structured data. 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.

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