Working closely with data analysts and business end-users to implement and support data platforms using best-of-breed technology and methodology
Implement and design robust and scalable solutions to meet business needs and take operational considerations into account. Demonstrate technical expertise in the assigned areas
Manage operations and maintain SLAs. Implement automation in data management. Collaborate with data engineering, architecture, and governance.
Perform data quality, onboarding, registration, discoverability, access controls, and cataloging. Execute, maintain and manage the whole data lifecycle.
Conduct requirement workshops with stakeholders, analyse and translate business and other requirements holistically into data strategies, plans, actions.
Design and implement scalable 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 and advisory to business users.
Analyze systems operations data (SLAs, customer satisfaction, delivery quality, team efficiency etc.) to identify actionable trends for continual improvements.
Mandatory Skills
Min 3 years of experience.
Degree in a data-related discipline such as Computer Science, Information Technology, Data Science, Finance, or a related field.
Strong understanding of financial markets data.
Strong understanding of how data is stored in a relational database.
Knowledge of leading data management trends and practices within the financial industry, approaches to data quality and business-technology issues related to data.
Excellent analytical, communication, and problem-solving skills.
Ability to work independently and as part of a team.
Strong documentation skills.
Keen understanding of Python and SQL is a must.
Experience in providing support for Enterprise data products is a plus..