Job Summary
You will be working with our client in the financial industry.
The ideal candidate must have strong data modelling and data analysis skills, and familiarity with scripting for automating tasks.
The successful candidate will be part of the team that drives data and digital transformation within the development functions in the organization.
Responsibilities include working with partners to streamline processes and implement automation to improve efficiency and quality of output.
Responsibilities
Analyse data needs and document the requirements.
Refine data collection/consumption by migrating data collection to more efficient channels.
Plan, design, and implement data engineering jobs and reporting solutions to meet the analytical needs.
Develop test plan and scripts for system testing, support user acceptance testing.
Work with partners to streamline processes and implement automation to improve efficiency and quality of output.
Work with technical teams to ensure smooth deployment and adoption of new solution.
Ensure the smooth operations and service level of IT solutions.
Support production issues.
Requirements
Bachelor’s Degree in Information Technology, Computer Science, or a related field.
Strong data modelling and data analysis skills are a must.
Familiarity with scripting for automating tasks using Python.
Hands‐on experience of reporting or visualization tool like SAP BO and Tableau is important.
Good understanding and completion of projects using waterfall/Agile methodology.
Good understanding of analytics and data warehouse implementations.
Hands‐on experience in DevOps deployment, ETL tools like Informatica, and data virtualisation tools like Denodo will be an added advantage.
If you are interested in this role and would like to discuss the opportunity further please click apply now or email
Chew Kai-Xinn
at
for more information.
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