Astek

Data Management Specialist

Posted: 1 hours ago

Job Description

Location: SingaporeEligibility: Open only to Singapore CitizensBudget: Up to SGD 8000 OverviewWe are seeking a Data Management Consultant to support data management operations within our data warehouse and data mart portfolio. The ideal candidate will have hands-on experience in data analysis, reconciliation, and quality management, with strong problem-solving and logical thinking skills.Key ResponsibilitiesOversee and support daily data management operations for data warehouse and data mart projects.Perform data analysis, validation, and reconciliation to ensure data accuracy and consistency across systems.Execute and monitor data quality checks in accordance with established SLAs, ensuring timely resolution of issues.Manage data issue tracking and troubleshooting, coordinating with relevant teams to identify root causes and implement fixes.Write, optimize, and maintain Oracle PL/SQL scripts for data extraction, transformation, and validation tasks.Conduct User Acceptance Testing (UAT) to validate data workflows, system enhancements, and integration results.Manage service-level agreements (SLAs) and respond to queries from end users, ensuring timely support and resolution.Prepare and maintain technical and functional documentation, including specifications, process flows, and operational reports.Collaborate with stakeholders to understand business requirements and translate them into actionable data operations tasks.Apply investment data domain knowledge to ensure accurate interpretation, processing, and reporting of financial datasets.Continuously assess operational efficiency and propose improvements to enhance data integrity and performance.Required Skills & QualificationsSingapore Citizen (mandatory).Bachelor’s degree in Computer Science, Information Technology, or a related field.Minimum 2 years of data management experience.Proven experience in data warehouse or data mart operations.Strong background in data analysis, data reconciliation, and quality management within SLA timelines.Proficiency in Oracle PL/SQL development.Experience in UAT execution and coordination.Demonstrated ability to manage data-related incidents and provide end-user query support.Strong documentation and communication skills with attention to detail.Good understanding of investment data domain concepts.Excellent problem-solving, analytical, and logical thinking abilities.Good to HaveWorking knowledge of Snowflake.Experience with Denodo.

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