• Possess a degree in Computer Science, Engineering, or relevant technical discipline.
• At least 3 -8 years of relevant experience in data solutioning, process re-engineering, and digital product development.
• Exposure to financial services industry is preferred, and experience in private markets is advantageous.
• Possess knowledge and strong passion in data governance, data quality, and data management.
• Good engineering experience and practices in SQL, and/or any relational database/warehouse (e.g. Postgres, Oracle, Snowflake, Python/Pandas/DBT/PySpark).
• Ability to engage with business to understand business needs and translating them into data solutions.
• Excellent communication and interpersonal skills, with the ability to build relationships and work effectively with diverse stakeholders.
• Ability to manage multiple priorities and meet deadlines in a fast-paced environment.
• Possess strong learning agility, self-driven, pro-active, and great sense of purpose to relook on existing data usage.
