Darum lohnt es sich
Responsibilities
• Investigate data quality issues using SQL to query datasets, troubleshoot reported problems, identify root causes, and validate corrective actions.
• Gather requirements by proactively engaging with business and technical stakeholders to build comprehensive understanding of complex data problems and user needs.
• Manage the product backlog by translating investigation findings into clear, well-defined user stories and acceptance criteria for the engineering team.
• Facilitate continuous communication between data consumers and the development team to ensure alignment on issues, resolutions, and progress.
Requirements
• Strong practical SQL skills for investigating complex datasets.
• Basic understanding of data modeling principles.
• Experience gathering requirements and translating them into actionable work.
• Ability to work effectively with both technical and non-technical stakeholders.
• Familiarity with Agile/Scrum methodologies is a plus.
• Experience with entity resolution products or commercial real estate is a plus.
• Experience with data platforms like Databricks is a plus.
