• Bachelor degree from a recognized tertiary institution.
• At least 3 years of data-related working experience.
• Proficiency in SQL.
• Good at working with details and is meticulous in operations and tasks.
• Good team player, with strong analytical skills and enjoy complex problem solving.
• Excellent written and verbal communication skills in English.
• Strong interpersonal and people leadership skills to interact with diverse stakeholders.
• Strong presentation skills.
• Principles, key controls, and processes relating to data, metadata, and collection.
• Data catalogue systema and associated workflow.
• Knowledge in Snowflake, AWS, and Informatica.
• Experience in Jira, Python, Scala, and Javascript.
• Experience in working with market data contracts from data vendors (e.g. Bloomberg, FactSet, ICE, MSCI, Refinitiv, etc.) and capturing contract specific information.
Responsibilities:
• Working closely with business end-users, market data sourcing team data owners, data stewards, and data analysts to plan, implement, and support metadata capture, cataloguing and maintenance.
• Demonstrate technical expertise in the aforementioned areas related to metadata and market data.
• Manage operations and maintain SLAs.
• Implement automation in metadata collection.
• Collaborate with data management, engineering, architecture, and governance teams.
• Perform data and metadata onboarding, quality, modeling, lineage, and cleansing.
• Check discoverability, access controls, optimization, and cataloguing.
• Execute, maintain, and manage the whole metadata lifecycle.
• Conduct requirement workshops with stakeholders, analyze and translate business and other requirements holistically into strategies, plans, and actions.
• Design and implement scalable metadata-related data pipelines and data service modules with robustness in mind to support the growing demands from business users.
• Analyze and resolve day-to-day operational incidents.
• Analyze systems operations data (SLAs, customer satisfaction, delivery quality, team efficiency etc.) to identify actionable trends for continual improvements.
• Perform data, application, and system checking and testing (e.g. UAT), application of ‘Continuous integration and Continuous Delivery’ (CICD) and go-live.
