Senior Data Engineer
Indexed description
Responsibilities
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.
- Design and develop or modify & performance tune data loads via ETL / ELT CI/CD processes to the data warehouse.
- 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.
- FORMAL EDUCATION:
- Bachelor’s degree or foreign equivalent in a related field.
- KNOWLEDGE & EXPERIENCE:
- 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.
- 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.
- 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.
Life … with rewards, benefits and the flexibility to enhance your health and well-being
Career … with opportunities to learn, develop new skills and grow your contribution
Connection … with an inclusive team and commitment to our own and broader communities
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