Software Engineer (Master Data Management)
Job Summary
Job Description
The Software Engineer (Master Data Management) will be responsible for designing, developing, and implementing data quality strategies, processes, and tools. This includes analyzing the data model and infrastructure, identifying gaps, and suggesting architectural improvements. The role involves developing and building a data pipeline for the master data management platform, conducting data profiling, cleansing, and validation. The engineer will also develop and maintain data quality metrics, dashboards, and reports. Collaboration with data engineers, analysts, and other teams to define data quality requirements and standard processes will be crucial. Ensuring high performance, privacy, security, scalability, and reliability in solutions, along with root cause analysis and continuous improvement of data quality processes through automation and innovation, are key aspects of the role.
Must have:
- Design, develop, and implement data quality strategies and tools.
- Analyze data models and infrastructure, suggest improvements.
- Develop and build data pipelines for master data management.
- Conduct data profiling, cleansing, and data validation.
- Develop and maintain data quality metrics and reports.
1 skill required
Job Details
Key responsibilities will include: - Design, develop, and implement data quality strategies, processes, and tools - Analyze our data model and infrastructure, spotting gaps and suggesting architectural improvements - Develop and build a data pipeline to enable the master data management platform - Conduct data profiling, data cleansing, and data validation to identify and resolve data quality issues - Develop and maintain data quality metrics, dashboards, and reports to supervise data quality performance - Collaborate with data engineers, data analysts, and other collaborators to define data quality requirements and standard processes - Ensure high performance, privacy, security, scalability, and reliability in our solutions - Perform root cause analysis of data issues and implement corrective actions - Continuously improve data quality processes and tools through automation and innovation
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