Red Alpha
Data Engineer
- Compensation
- Not disclosed
- Location
- Singapore
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 3+ years
- Category
- Data engineering
- Posted
Skills
Full description
Red Alpha Cybersecurity is looking for aspiring Data Engineers who are passionate about building robust data pipelines and enabling data-driven solutions. You’ll work closely with cross-functional teams, including data scientists, analysts, and software engineers. To deliver high-performance, production-grade data infrastructure.
What You’ll Be Doing
- Design, build, and maintain scalable, reliable data pipelines to support diverse business and AI applications
- Take ownership of pipeline health. Proactively monitor performance, debug issues, and improve data quality
- Collaborate with cross-functional teams to translate data needs into technical solutions
- Implement data pipeline orchestration using tools such as Apache Airflow or AWS Step Functions
- Optimise data storage and retrieval across RDBMS (Postgres, MSSQL), object stores (MinIO/S3), and graph databases (Neo4j)
- Design data schemas (normalized, denormalized, star-schema) and enforce proper access and backup protocols
- Support analytics, product development, and AI POCs with clean, well-managed data structures
- Apply scripting (Python) and open-source tools to automate data workflows and ETL processes
What You Should Know or Be Eager to LearnPreferred Technical Skills (not mandatory)
- Python for scripting and data manipulation
- Database technologies: PostgreSQL, MongoDB, Neo4j
- Cloud and storage systems: MinIO, AWS S3, AWS tech stack (preferred)
- Data orchestration tools: Apache Airflow, AWS Step Functions
- Familiarity with BI tools like Tableau
- Comfort working in both Windows and Linux environments
- Basic understanding of networks, OS commands, and system-level data operations
Mindset We Look For
- Strong problem-solving mindset with attention to detail
- Customer-first attitude. Designing with real users and business needs in mind
- Flexibility to adapt tools and approaches based on the use case
- Eagerness to learn and grow in a high-performance tech environment
All selected candidates will undergo a 11-week, fully sponsored on-job-training with allowance, before being deployed full-time for 3 years.