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.

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.

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.