Data Engineer

VINOVA PTE. LTD.; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading research organization in Singapore is seeking a Data Engineer to support data infrastructure across its digital products. The role involves designing and developing data pipelines, ensuring data quality, and collaborating with product teams. Ideal candidates should be proficient in Python, Java, or Scala, have strong analytical skills, and a solid understanding of SQL. The position offers opportunities for professional growth within a multi-disciplinary research division.

Qualifications

• Proficiency in at least one programming language such as Python, Java, or Scala.
• Strong analytical and problem-solving skills.
• Basic knowledge of database systems, with SQL knowledge essential.
• Familiarity with data integration and ETL concepts.
• Basic experience with version control systems.

Responsibilities

• Design and develop data pipelines for NCSS digital products.
• Implement data validation and cleansing processes.
• Support maintenance of data infrastructure.
• Collaborate with stakeholders on data requirements.
• Stay current with technologies through training.

Skills

Python

Java

Scala

SQL

Data modelling

ETL

Git

AWS (S3, EC2, RDS)

Spark

Job description

You will be part of a high-performing and multi-disciplinary research division in NCSS that conducts a range of research initiatives that impacts policy and operations in Singapore’s social service sector. NCSS has multiple operations systems and is currently implementing a new Data Platform where data will be aggregated and transformed to answer strategic business questions.

1/ The Data Engineer will perform a crucial role in designing, building, and maintaining robust infrastructure and systems across NCSS digital products.

Key Responsibilities

Data Infrastructure Support

• Assist in designing and developing data pipelines and architectures to collect, process, harmonize and store data from various source systems across NCSS digital products
• Support the building of data pipelines that integrate data from multiple NCSS platforms and services
• Help maintain data lakes and database infrastructure to support analytical, reporting, and AI workloads across the NCSS ecosystem

Data Quality and Monitoring

• Implement data validation, cleansing, and normalisation processes under supervision to ensure data quality and integrity
• Monitor data pipelines and systems to identify potential issues and performance bottlenecks 2
• Assist in maintaining data governance frameworks that support compliance and data security requirements

System Maintenance and Documentation

• Support the maintenance of data infrastructure supporting NCSS digital products
• Assist in troubleshooting and resolving data-related issues under guidance from senior team members
• Create and maintain documentation of data engineering processes and system configurations

Stakeholder Collaboration

• Work closely with senior data engineers, product teams, analysts, and stakeholders across NCSS to understand business data requirements and translate them into technical specifications and scalable solutions
• Design, develop and deploy data tables, visualisation and marts for business reporting and other purposes

Professional Development

• Stay current with emerging technologies and trends in data engineering through training and mentorship
• Participate in continuous learning opportunities to develop technical skills and domain knowledge
• Contribute to process improvements and suggest enhancements to existing data systems
• Participate in knowledge sharing sessions and contribute to team learning initiatives

Behaviours Needed to Succeed

• Behaviours Needed to Succeed Personal Competencies: Open-minded, flexible and adaptive Self-driven and takes the initiative Skills & Knowledge: Technical Skills

Skills & Knowledge: Technical Skills

• Proficiency in at least one programming language such as Python, Java, or Scala for data processing and scripting
• Strong analytical and problem-solving skills with attention to detail Multi-tasking under time pressure in a fast-paced environment Good communication skills Work both independently and as a member of a team.
• Basic knowledge of database systems, both relational and non-relational, and their query languages (SQL knowledge essential)
• Understanding of data modelling and schema design principles
• Familiarity with data integration and ETL (Extract, Transform, Load) concepts and processes
• Basic experience with version control systems such as Git Cloud and Platform Knowledge
• Basic familiarity with cloud platforms, preferably AWS services such as S3, EC2, and RDS
• Exposure to big data technologies and frameworks such as Spark or similar platforms
• Experience with Databricks and implementing batch/real-time data pipelines Understanding of data governance policies, access controls, and security best practices in government environments.