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Company Overview
This is a global technology, defense, and engineering group headquartered in Singapore. It’s a major player in various sectors, leveraging technology and innovation to solve real-world problems and contribute to a more secure and sustainable world.
Engineer
The company is seeking a highly skilled and passionate Engineer to join its dynamic team. This role offers an exciting opportunity to work with large-scale data, focusing on real-time and batch processing, graph databases, and advanced network analysis. The ideal candidate will be instrumental in designing, developing, and optimizing data pipelines and graph-based solutions to support critical business functions.
Responsibilities:
Data Pipeline Development & Optimization: Design, develop, and maintain scalable data pipelines for both real-time and batch processing. Implement efficient data extraction, transformation, and loading (ETL) processes and optimize data workflows for performance, scalability, and reliability.
Graph Database & Network Analysis: Work extensively with graph databases such as Neo4j and NetworkX to model and analyze complex relationships. Develop and optimize graph-based data structures for efficient querying and analysis, and implement algorithms for network analysis, anomaly detection, and pattern recognition.
Graph Database Management & Data Modeling: Design and implement graph database solutions specifically tailored for data engineering use cases. Develop data models that support efficient data storage, retrieval, and analysis within graph databases, ensuring data integrity, consistency, and security through best practices in graph database management.
Big Data & Streaming Frameworks: Utilize big data frameworks such as Hadoop and Spark for large-scale data processing. Develop and optimize data lake architectures to support efficient data storage and retrieval, and leverage streaming frameworks like Apache Kafka and Apache Flink for real-time data processing.
Collaboration & Cross-Functional Integration: Collaborate closely with data scientists, analysts, and software engineers to translate business requirements into robust technical solutions. Work on the integration of data pipelines with machine learning models and analytical applications, and provide technical mentorship and guidance to junior team members.
Data Quality & Governance: Implement data validation, monitoring, and governance strategies to ensure high data quality. Establish best practices for data lineage, documentation, and version control, and ensure compliance with data privacy and security policies.
Requirements:
Experience:
Possess 5+ years of professional experience in data engineering or related fields.
Demonstrated experience in designing and maintaining large-scale data pipelines and processing frameworks.
Required experience working with graph databases such as Neo4j and tools like NetworkX.
Experience in cybersecurity, finance, healthcare, or other high-stakes domains is considered 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.
Software Development & Engineering:
Strong understanding of data structures, algorithms, and distributed computing concepts.
Experience with API development and integration.
Familiarity with version control (Git) and automated testing frameworks.
Education:
Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field, or equivalent 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.
Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.
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No Client Relationship: This company is not a client of SpringCube unless stated.
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