
Senior Data Governance Specialist
1 day ago
This is a key position for a highly skilled data engineer who can design and implement robust data governance processes to ensure data consistency and accuracy across various systems.
- In this role, you will be responsible for developing high-performance data processing pipelines within cloud-based ecosystems.
- You will also create and manage master records for business entities, implementing data quality management and automated data lineage processes.
- Another key aspect of this position is assembling large complex data sets from various sources and collaborating with cross-functional teams to derive insights into customer acquisition and operational efficiency.
- Data Governance Strategy: Develop a comprehensive data governance strategy that aligns with the organization's overall goals and objectives.
- Data Quality Management: Implement data quality management processes to ensure data accuracy, completeness, and consistency.
- Data Lineage: Design and implement data lineage processes to track data movement and transformation throughout the data lifecycle.
- Data Integration: Assemble large complex data sets from various sources using ETL (Extract, Transform, Load) tools and technologies.
- Cloud Services: Experience working with cloud services such as AWS, Azure, or Google Cloud Platform.
- Data Governance Tools: Familiarity with data governance tools such as Apache Atlas, AWS Lake Formation, or Google Cloud Data Catalog.
- Data Quality Management: Proven experience in data quality management using techniques such as data profiling, data validation, and data cleansing.
- Programming Languages: Proficiency in programming languages such as Python, Java, or Scala.
- Opportunity to work on cutting-edge data engineering projects.
- Collaborative and dynamic work environment.
- Professional development and growth opportunities.
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