Data Engineer

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 

Our Training & Simulation Systems delivers learning, training, and simulation solutions and systems that elevate training experiences; offer immersive technologies that transform learning and training; along with training support and consultancy services for aerospace, land, maritime, public safety and security, and commercial segments. We provide comprehensive end-to-end solutions, from design and development to seamless implementation, maintenance, and ongoing operations.

Together, We Can Make A Significant Impact 

You will be part of the data engineering team. Your role includes designing and developing high quality data products – data warehouse, data marts, data lake and data hubs; either on cloud or on-premises system environments.

Be Part of Our Success 

• Build and support data pipelines and all associated Software Engineering infrastructure tasks.
• Liaise with clients, technical architects, data architects, data scientists and BI analysts to gather requirements.
• Analyse data requirements, prepare functional and non-functional specifications for the data products. 
• Develop the data pipeline using either ETL or ELT approach to load or synchronise data in near real time or batch mode. 
• Analyse and interpret data into business insights. 
• Design and develop the dashboards and visualizations using the BI tools.
• Ability to understand and convert the business logics into SQL queries and validate it against the data.
• Prepare Test Plans and conduct Unit Test, System Integration Test, User Acceptance Test and Performance Test. 
• Implement deployment approaches and methods to roll-out the system changes.
• Stay up-to-date with industry standards and technological advancements that will improve the quality of the data products.

Qualities We Value

• At least 3 years of end-to-end data warehouse, data lake and big data implementation experience with similar industry will be a plus point.
• Proficient with at least one or more of the following technologies: Informatica , SSIS, SQL Skills, SQL Server , Azure Data Factory, Data Warehouse, ETL Framework. 
• Preferably possess a good knowledge about: Power BI, Qlik Sense, MicroStrategy, SAS and Tableau.
• Preferably possess a good knowledge about: AWS/Azure services, Hadoop Ecosystem, Data APIs, Unstructured Data and Data Modelling.
• Able to work under pressure when there is an escalated demand in the project cycle.
• Understand the solution requirements and progress to develop, build and operationalise the solutions.
• Enjoy problem solving in different domains and industries.
• Love working with a highly energetic and competent team.
• A self-starter with an analytical approach to problem solving.
• A client-centric, outcome driven and quality focused team player.
• Excellent communication; both in written and spoken English.

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.