Data Engineer
- Understanding of Data Management and Data Governance concepts (metadata, lineage, data quality, etc.) and prior experience.
- 2 – 5 years of Data Quality Management experience.
- Intermediate competency in SQL & Python or related programming language.
- Strong familiarity with data architecture and/or data modeling concepts
- 2 - 5 years of experience with Agile or SAFe project methodologies
- Assist in identifying data-related risks and associated controls for key business processes. Risks relate to Record Retention, Data Quality, Data Movement, Data Stewardship, Data Protection, Data Sharing, among others.
- Identify data quality issues, perform root-cause-analysis of data quality issues and drive remediation of audit and regulatory feedback.
- Develop deep understanding of key enterprise data-related policies and serve as the policy expert for the business unit, providing education to teams regarding policy implications for business.
- Responsible for holistic platform data quality monitoring, including but not limited to critical data elements.
- Collaborate with and influence product managers to ensure all new use cases are managed according to policies.
- Influence and contribute to strategic improvements to data assessment processes and analytical tools.
- Responsible for monitoring data quality issues, communicating issues, and driving resolution.
- Support current regulatory reporting needs via existing platforms, working with upstream data providers, downstream business partners, as well as technology teams.
- Subject matter expertise on multiple platforms.
- Responsible to partner with the Data Steward Manager in developing and managing the data compliance roadmap.
- Drives Innovation & Change: Provides systematic and rational analysis to identify the root cause of problems. Is prepared to challenge the status quo and drive innovation. Makes informed judgments, recommends tailored solutions.
- Leverages Team - Collaboration: Coordinates efforts within and across teams to deliver goals, accountable to bring in ideas, information, suggestions, and expertise from others outside & inside the immediate team.
- Communication: Influences and holds others accountable and has ability to convince others. Identifies the specific data governance requirements and is able to communicate clearly and in a compelling way.
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