Job description

Job brief

We are seeking an experienced and innovative Data Engineer to join a forward-thinking team. This role involves designing and building advanced data pipelines, developing centralized data platforms, and leveraging cutting-edge technologies for automation and data optimization. If you are passionate about data engineering and ready to work on impactful projects, this is the opportunity for you.

Responsibilities

Design and build data pipelines to collect, process, and store data from various sources.
Develop centralized data assets platforms for managing and accessing data effectively.
Implement automated SQL generation tools to optimize query creation based on user-defined criteria or business needs.
Create new intellectual properties (IPs) in areas of expertise in Singapore.
Collaborate on innovation projects with Institutes of Higher Learning or Research Institutes to develop new technologies.
Provide short-term overseas support for process development.

Requirements

Masters or PhD in Computer Science, Data Science, Statistics, or a related field.
Proficiency in programming languages such as Python, SQL, Java, or Scala.
Strong knowledge of data warehousing concepts and ETL tools (e.g., Informatica, Talend, Airflow).
Experience in database management with relational (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra).
Familiarity with cloud platforms for deploying and managing data infrastructure.
Expertise in data modeling and data quality validation techniques.
Knowledge of automation tools like Apache Airflow, Kubernetes, or Ansible.
Basic understanding of machine learning algorithms for tasks like query optimization and anomaly detection.

Benefits & Perks

Competitive salary range: SGD 6,000 - 8,000 per month, based on experience and qualifications.
Opportunities to work on innovative and high-impact projects.
Collaborative and forward-thinking work environment.
Professional development and skill enhancement opportunities.

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