Product Data Engineer
4 days ago
About the Role
- Maintain, enhance, and develop new Enterprise tables in the Enterprise Data Warehouse based on the Kimball methodology.
- Contribute to evolving the Company data landscape through:
- Sharing of knowledge
- Contributing new data features
- Enhancing/streamlining existing data products (e.g., improve and optimize code)
Minimum
- A relevant tertiary qualification in Information Technology or Data Analysis
- A relevant degree in Data Engineering
- Certification in Data Warehousing
Experience
Minimum
- At least 1 year of proven engineering experience in warehouse environments (preferred in AWS Redshift SQL)
- OR
- At least 1 year of dimensional data modeling experience or engineering experience
- SQL
- Control M (Scheduling toolset)
- Version control in Git and the use of CI/CD deployments
- Dimensional data structures (Kimball)
- Core AWS services (S3, Redshift, Airflow)
- Columnar database management systems
- Data warehouse architectures
- AWS Well-Architected Framework
- Understanding of Banking business model and systems environment
- Software version control systems (Git) and deployment tools (CI/CD)
- Collaboration tools (JIRA, Confluence, )
- Data Governance, Data Quality, Metadata, Lineage, and Data Security
Minimum
- Detailed knowledge of:
- SQL
- Data analysis
- Software testing
- Data analysis and design
- Data architecture (technical design and implementation processes)
- DPLC
- Analytical Skills
- Communication Skills
- Computer Literacy (MS Word, MS Excel, MS Outlook)
- Problem-solving Skills
- Clear criminal and credit record
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