Data Engineering

• Build data pipelines to support data science projects following data engineering best practices
• Data exploration, quality checks & implement exception handling process
• Identify, design, and implement internal operational improvements: automating manual processes, optimizing data delivery, improving data quality, etc
• Work with data scientists and analysts to productionize data pipelines and machine learning models, so that they can scale and accommodate various business requirements
• Drive collaborative reviews of design, code, test plans and dataset implementation performed by other data engineers in support of maintaining data engineering standards
• Ensure information security standards are maintained at all time

Stakeholder management

• Partner with the Global Operations business owners, project teams and colleagues at all levels, ensuring their views and requirements are captured
• Act as the ambassador for the data product, showcasing the key functionalities, driving adoption, and assuring operational excellence together with IT peers

Key relationships

• Global Operations project teams
• Advanced Analytics Teams
• Other teams within Data & Analytics (e.g., Data assets, data platforms, data governance, market teams)

Requisite Education and Experience / Minimum Qualifications:

Education & Professional experience

• Bachelor’s degree, preferably in computer science (or the equivalent)
• 1.5+ years’ hands-on experience in developing scalable Big Data applications or solutions on distributed platforms, experience with supply chain and operations data is a plus

Hard skills

• Experience in building data engineering capabilities with DataBricks, including data pipelines, monitoring & troubleshooting.
• Experience with Continuous Integration and Automated Test tools such as Jenkins, Git & Docker
• Experience working with Spark, Python, Pytest
• Strong experience in modular code development using IDE
• Experience working in Agile and Scrum development process.

Soft skills & attitude

• Good written and oral communication skills (English) 
• Comfortable in presenting complex topics.
• Proven team player who can collaborate across functions and organizations.
• High resilience and solution-oriented attitude
• Excited to work as part of a data science team and embark on a path of steep skill growth.