· 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.
