Job Summary
We are looking for Data Engineer who will be playing a key role in creating, building and maintaining our client’s data infrastructure.
Mandatory Skill-set
- Degree in Computer Science or related discipline;
- Minimum 2-3 years of experience in Data Analysis and experience of Project management;
- Knowledge of making frameworks and power point presentations;
- Good hands-on experience in Python/ Spark and SQL to code complex data engineering use cases;
- At least 2 years of experience in Data Management and data governance;
- Able to collect, parse, manage, analyse and visualise large sets of data to turn information into insights accessible through multiple platforms and works more with structured data;
- Basic project management knowledge, Team presentation skill & Business analytical skill;
- Excellent interpersonal, and communication skills with the ability to coordinate / work with multiple teams;
- Motivated, driven, logical, and possess excellent time management skills;
- Has strong analytical and problem-solving skills with attention to detail.
Desired Skill-set
- Experience in financial industry;
- Familiarity with Agile development methodologies.
Responsibilities
- Create, build, and maintain the data infrastructure required for Extraction, Transformation and Loading of data from a wide variety of sources.
- Ensure high-quality data is delivered to support Compliance model development.
- Support the implementation of Data Analytics / Automation for Compliance teams and Business stakeholders.
- Liaise with relevant stakeholders (e.g., Data Management Office) to identify and assess suitability of data for Compliance Data models.
- Liaise with Business stakeholders / analysts and ensure assembled data assets used for model development meet business requirements.
- Build & maintain data dictionaries / data requirements of implemented data models and coordinate with Data Scientist(s) in developing model narratives.
- Monitor the execution & performance of data models and liaise with IT for any technical / system outages.
- Keep track of datasets / tables in the working schema and support purging of unused tables periodically.
- Perform data analysis required to troubleshoot data related issues and support the resolution of raised data issues.
Should you be interested in this career opportunity, please send in your updated resume to [email protected] at the earliest.
When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (https://www.sciente.com/privacy-policy).
Confidentiality is assured, and only shortlisted candidates will be notified for interviews.
EA Licence No. 07C5639
