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 3-5 years of experience in Data Engineering;
- Good hands-on experience in both SQL and NoSQL databases (like MariaDB, Oracle, MongoDB ) and Object-Relational Mapping (ORM) frameworks (e.g. Hibernate);
- Experience with CI / CD practices and tools ( Bitbucket, Jenkins, Artifactory, Veracode etc.);
- Experience in Apache Kafka applications, Java, Sprint Boot and API (Microservices);
- Experience building data pipelines with Apache NiFi in production scale and data streaming applications using Apache Spark and Kafka Streams;
- Experience with a variety of data sources and sinks (API, MQ, Files, Databases, Hot lakes, Big data systems etc.).
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 different sources;
- Delivering high-quality data and data models;
- Provide high-level support of Data Analytics/Automation for Compliance and Business Team/stakeholders;
- Liaise with relevant stakeholders to identify and assess suitability of data compliance / data models and to ensure data meets business requirements;
- Coordinate with Data Scientists after building and maintain data dictionaries/requirements for data models;
- Build & maintain data dictionaries / data requirements of implemented data models and coordinate with Data Scientist(s) in developing model narratives;
- Work closely with the Business Analyst in receiving/understanding business feedback in order to incorporate feedback into model performance;
- Identify areas which require analytics support or future model build and include those models in development pipeline;
- Work hand-in hand with Data Scientist(s) and Business Analyst, and undertake the end-to-end data model development.
Should you be interested in this career opportunity, please send in your updated resume to [email protected] at the earliest.
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Confidentiality is assured, and only shortlisted candidates will be notified for interviews.
EA Licence No. 07C5639
