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Job Description
Structured overview of role & requirementsAbout This Role
Own end-to-end data product development from discovery through production support targeting commodity markets, trading, supply chain, and sustainability data domains.
Build, maintain, and automate robust data pipelines and standardized datasets using SQL, Python, and cloud data services with monitoring and quality checks.
Collaborate cross-functionally with business users, analysts, engineers, and product teams to translate business questions into reliable, insightful data solutions that support commercial and operational decision-making.
Minimum Requirements
Bachelor's degree with minimum 9 years of professional experience.
Strong hands-on SQL skills including joins, aggregation, window functions, data validation, and troubleshooting.
Practical Python experience for data transformation, automation, and exploration.
Experience working with cloud data warehouses or lakehouses and familiarity with relational and analytical data modeling.
Ideal Candidate Profile
Demonstrated ability to take complex data problems from discovery to validated, production-ready solutions with clear documentation and testing.
Experience working directly with diverse stakeholders to translate business requirements into technical data products.
Combination of strong technical delivery skills and curiosity about commodity trading, supply chain, and commercial workflows to drive business insights and decisions.