About ST Engineering
ST Engineering is a global technology, defence, and engineering group with offices across Asia, Europe, the Middle East, and the U.S., serving customers in more than 100 countries. The Group uses technology and innovation to solve real-world problems and improve lives through its diverse portfolio of businesses across the aerospace, smart city, defence, and public security segments. Headquartered in Singapore, ST Engineering ranks among the largest companies listed on the Singapore Exchange.
Our history spans more than 50 years, and our strategy is underpinned by our core values – Integrity, Value Creation, Courage, Commitment and Compassion. These 5 core values guide every aspect of our business and are embedded in our ST Engineering culture – from the people we hire, to working with each other, to our partners and customers.
About our Line of Business – Mission Software & Services
Our Mission Software & Services business provides leading-edge mission critical command, control, and communications (C3) systems with secured IT infrastructure and managed services. We support our client’s innovation journey through design thinking, analytics, and AI-enabled decision support with our full suite of cloud computing solutions. We provide intelligent, actionable insights and sustainable solutions to our valued partners in diverse industries including defence, government, and commercial sectors.
Together, We Can Make A Significant Impact
The Data Engineer supports the design, implementation and maintenance of data flow channels and data processing systems that support the collection, storage, batch and real-time processing, and analysis of information in a scalable, repeatable and secure manner. The Data Engineer focuses on defining optimal solutions to data collection, processing and warehousing. He / She designs, codes and tests data systems and works on implementing those into the internal infrastructure.
Be Part of Our Success
- Work with stakeholders including customers, partners and colleagues on data-related technical issues and support their data infrastructure needs;
- Work closely with data scientists to solicit data requirements to support modeling works
- Design, develop, document, manage and maintain data models, ETL processes, data warehouse, data management and pipeline solutions for large volume of structured/unstructured data from disparate sources and with different latencies (e.g. on-demand, batch, real-time, near-real-time);
- Define, monitor and report SLAs for data pipelines and data products;
- Understand data security and governance standards or requirements to implement solutions that ensure adherence to these standards or meet such requirements;
- Drive/execute data quality assurance practices; and
- Support data management solutions pre-sales initiatives, proposal development and provide post-sales support.
Qualities We Value
In-depth technical knowledge in:
- Data Modelling;
- Data Pipelines;
- OLAP;
- Data Ingestion & Integration techonlogies;
- Query Optimisation
- Technical expertise in:
- Java, C/C++, Python, Scala, SQL etc.
- Big data technologies e.g. Hadoop, Spark, Hive, HBase etc.
- Experience in master data management, data governance, data lifecycle management etc.;
- Experience in designing, documenting, implementing and supporting data management solutions;
- Experience in using software engineering best practices in development, programming, testing, version control etc;
- Knowledge of data privacy and security assurance;
Our Commitment That Goes Beyond the Norm
- An environment where you will be working on cutting-edge technologies and architectures.
- Safe space where diverse perspectives are valued, and everyone’s unique contributions are celebrated.
- Meaningful work and projects that make a difference in people’s lives.
- A fun, passionate and collaborative workplace.
- Competitive remuneration and comprehensive benefits.
