Technical Data Management Engineer at SmartCall — NeverHard

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 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 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