Data Engineer - DSC/MC
ST Engineering Ang Mo Kio Full-time
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
We are looking for a skilled and motivated Data Engineer to join our team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support data analytics, reporting, and business intelligence needs.You will work closely with data scientists, analysts, and software engineers to ensure that data is accessible, reliable, and efficiently processed.
Be Part of Our Success- Design, develop, and maintain robust ETL/ELT pipelines to ingest and transform data from various sources.
- Build and manage scalable data infrastructure (e.g., data warehouses, data lakes).
- Ensure data quality, integrity, security, and compliance across all pipelines and systems.
- Collaborate with stakeholders to understand data requirements and support data-driven initiatives.
- Optimize data workflows and processing for performance and cost efficiency.
- Develop and maintain data models, schemas, and metadata.
- Monitor and troubleshoot data issues in production environments.
- Proven experience (2+ years) as a Data Engineer or similar role.
- Strong proficiency in SQL and experience with relational and non-relational databases (e.g., PostgreSQL, MySQL, MongoDB).
- Experience with data pipeline tools and frameworks (e.g., Apache Airflow, Spark, Kafka, dbt).
- Proficiency in programming languages such as Python, Scala, or Java.
- Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and cloud data services (e.g., Redshift, BigQuery, Snowflake).
- Familiarity with tools like FFmpeg.
- Experience with data warehouse concepts and best practices.
- Strong problem-solving skills and attention to detail.
- Good communication and collaboration skills.
- 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.
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