Job Description
Responsibilities:
• Develop and maintain logical and physical data models to support business processes and scientific data needs.
• Design workflows, establish data governance frameworks, and manage master and reference data solutions.
• Conduct data profiling, audits, and quality assessments to ensure accuracy and reliability.
• Define and implement data taxonomy, metrics, and lineage to enhance organizational data management.
• Collaborate with business teams and international stakeholders to address data quality issues and implement corrective measures.
• Create and manage detailed data designs, rules, and hierarchies to optimize data integration.
• Utilize data visualization and business intelligence tools to present insights effectively.
• Translate complex data requirements into actionable business processes and vice versa.
• Apply Agile and DevOps methodologies to data-centric architecture and solutions.
• Lead efforts to establish procedures for data cleansing, governance, and defect management.• Expertise in logical and physical data modeling, including ER diagrams and data dictionaries.
• Proficiency in data manipulation tools and programming languages such as SQL, Python, and XML.
• Strong understanding of Agile and DevOps development methodologies.
• Experience with scientific data management and visualization tools.
• Excellent analytical and critical thinking skills to address complex data challenges.
• Ability to collaborate effectively with diverse teams and stakeholders.
• Strong communication skills, both written and oral, in English.
• Proven ability to lead and coordinate work activities within a project team.