Sr Eng Data Management
About this role
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Skills you'll use
What you'll do
- The Senior Engineer, Data Management will support the foundational capabilities needed to enable data-driven decision-making through persona-based insights. This role requires deep expertise in integrating Databricks with enterprise data platforms, applying advanced data management skills to build industry-leading products, and establishing research-based methods for the Data Management team.
Who can apply
- · Bachelor’s degree in Computer Science, Information Systems, Data Science, Analytics, or a related field.
- · 6 to 7 years of experience in data engineering, data management, analytics, business intelligence, or related roles.
- · Working knowledge of AI-assisted analytics, GenAI concepts, and responsible AI practices.
- · Ability to apply responsible AI practices, including approved tool usage, sensitive data protection, and clear disclosure and traceability of AI-assisted outputs.
- · Hands-on experience designing, building, and maintaining data pipelines, integration processes, and analytical data assets.
- · Strong expertise in data quality management, including profiling, validation, cleansing, standardization, monitoring, and remediation.
- · Experience with Alteryx, advanced Tableau (programming), PowerApps, and Power BI, including data modeling and semantic layer design.
- · Proven ability to automate manual processes and scale data operations through improved workflows, tools, and governance practices.
- · Strong understanding of business process data models, enterprise data structures, and semantic layers.
- · Strong communication, collaboration, and stakeholder management skills, with the ability to translate technical concepts into business value.
About Johnson & Johnson
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