Primary duties:
- Analyze, implement, execute, and manage the data management lifecycle process.
- Monitoring and reporting on quality of data, implementing and operating data security controls, participating in data conversion and migration efforts.
- Acquire or receive data from internal or external sources.
- Control and monitor data quality to ensure zero defects at source.
- Organize or arrange data in an agreed structure.
- Classify information, so that it can be easily retrieved.
- Store/archive/publish data via designated tools or repositories.
- Find or locate data or enable data retrieval in a useable format.
- Preserve and protect data until closure of litigation, audit or investigation.
- Dispose of data in accordance with Client Standards and Guidelines.
- Train and advise individuals in the correct use of Azure Data stack tools.
- Appraise I&D initiatives against the plan.
- Monitor I&D health, maturity and compliance.
- Participation in Enterprise Data Governance Initiative/Project
- Develop Data Lake/Data Warehouse on Azure Data stack and apply Data Govereance model
- Developennt and provision of Data Architecture documents and artefacts
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Skills and competencies:
- Experience of Data Governance methodologies.
- ERP Data architecture components.
- ERP Data management lifecycle.
- Relevant Oil&Gas business/industry knowledge.
- Experience in development Procedures and Standards for Data Management services.
- Has knowledge of Microsoft and/or SAP Business Intelligence technologies (analytics tools, etc.)
- Has knowledge/experience of Azure Data Lake/Data Warehouse technologies.
- Knowledge and good understanding of Data Architecture
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Education and experience:
- University degree in Computer Science, Information Technology, Information Systems or related discipline
- 3 to 5 years of proven experience in Technical Data Management and use of applicable methodologies, tools and techniques in complex environments
- 3 to 5 years of proven experience in Azure Data Management stack
- At least 3 years of Data Architecture & Data Governance