JOB DESCRIPTION: DATA ENGINEER

At ST Engineering, we work with organizations to protect them from cyber threats. We help detect new unknown cyber threats through research, fortify networks, and defend critical information infrastructures. Based in Singapore, our team consists of cybersecurity experts who use advanced techniques and technologies to deliver cutting-edge solutions and services.
ST Engineering believes in fostering a culture where team members are encouraged to overcome challenges, explore new ideas, and work together to succeed. We value individuals who are determined to push beyond the boundaries and have a thirst for knowledge, continuous learning, and self-improvement.
Collaboration is key to our success. We prioritize open communication, constructive feedback, and a willingness to help others. We are committed to creating a supportive work environment that encourages excellence, innovation, and continuous improvement. We’re looking for individuals who share our values and are excited to join us on our cyber mission.

EXPERIENCE:

• 5+ years of professional experience in data engineering or related fields.
• Proven experience in designing and maintaining large-scale data pipelines and processing frameworks.
• Experience working with graph databases such as Neo4j and tools like NetworkX is required.
• Experience in cybersecurity, finance, healthcare, or other high-stakes domains is a plus.

SKILLS:

• Proficiency in Python, with strong expertise in data manipulation libraries (Pandas, NumPy, Pytorch Geometric, Networkx, etc.).
• Strong understanding of graph databases, network analysis, and related algorithms.
• Expertise in Cypher query language for graph database operations.
• Experience with big data frameworks such as Hadoop and Spark.
• Knowledge of data lakes architecture for scalable data storage and retrieval.
• Experience with streaming frameworks like Apache Kafka or Apache Flink for real-time data processing.

EDUCATION:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field or equivalent through experience.

PREFERRED QUALIFICATIONS:

• Experience in designing and deploying graph-based data solutions.
• Certifications in data engineering, big data technologies, or database management.
• Knowledge of cybersecurity data analysis and anomaly detection techniques.
  This position requires a dynamic individual passionate about data engineering, graph analytics, and large-scale data management, capable of delivering high-quality solutions in complex environments.