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Job Description
Structured overview of role & requirementsAbout This Role
Lead data management initiatives to enable data-driven decisions via persona-based insights and enterprise data product delivery.
Perform data profiling to identify quality issues and apply remediation including cleansing and standardization.
Design, build, and deploy data solutions and pipelines integrating Databricks with enterprise platforms, while coaching junior team members.
Minimum Requirements
Bachelor’s degree in Computer Science, Information Systems, Data Science, Analytics, or related field.
6 to 7 years of experience in data engineering, data management, analytics, business intelligence, or related roles.
Hands-on experience with data quality management, pipeline development, and automation of data processes.
Working knowledge of AI-assisted analytics, responsible AI practices, and experience with tools like Alteryx, Tableau (advanced programming), PowerApps, and Power BI.
Ideal Candidate Profile
Experienced in integrating Databricks with enterprise data platforms and supporting large-scale data mining and analytics initiatives.
Ability to translate complex technical data concepts into business value and collaborate with diverse stakeholders.
Familiar with cloud data platforms (Azure, AWS, GCP) and able to apply AI/GenAI techniques to data quality and analytics use cases.