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Open nowPosted 8 days ago

Junior Data Engineer

VANGUARD SOFTWARE PTE. LTD.

Pay
SGD 4,000 – SGD 5,500 a month
Where
Central, Singapore
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Your applicationOpen nowJunior Data EngineerVANGUARD SOFTWARE PTE. LTD. · Central, Singapore

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  2. 4.6%3 days
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  4. 21.8%14 days
  5. 36.6%30 days
  6. 58.9%60 days
This job: posted 8 days ago

The posting

JOB SUMMARY:

We're looking for a Data Engineer with strong software engineering fundamentals to build and scale our data infrastructure. You'll design high-performance systems that handle massive data volumes and high-concurrency workloads, optimize query engines for speed and reliability, and architect robust data pipelines. This role is for engineers who love solving distributed systems challenges and building production-grade infrastructure that processes terabytes of data daily.

This role is open to fresh graduates and early-career professionals (1–2 years of experience) who are eager to grow their skills in building scalable data systems.

Whether you’re just starting out or already have some experience, this is a great opportunity to develop your data engineering skills and contribute to impactful, data-driven decision-making.

KEY RESPONSIBILITIES:

  • Design, develop and maintain data infrastructures, such as computation, query engine and services which can support massive data and high concurrency requests
  • Clean, transform, and optimize raw data for storage and analysis
  • Work with structured and unstructured data from various sources (databases, APIs, files, etc.)
  • Plan data warehouse structure to ensure data quality, accuracy, consistency, and availability
  • Optimise for the performance of the data pipeline and service to downstream
  • Collaborate with business analysts, data scientists, and backend teams to provide appropriate tools
  • Document data models, processes, and technical decisions

What You'll Learn:

  • Real-world data engineering with modern tools like Apache Spark/Flink, Kafka, Airflow
  • Working with SQL/NoSQL databases, data lakes, and cloud platforms (AWS, GCP, Azure)
  • Building batch and streaming data pipelines
  • Data modeling, warehousing
  • Orchestration and monitoring of data workflows
  • Developing high availability services
  • Best practices in data governance, privacy, and security
  • Collaboration in agile, cross-functional teams with product, engineering, and analytics

JOB REQUIREMENTS:

🎓 For Fresh Graduates

  • Bachelor’s degree in Computer Science, Data Engineering, Software Engineering, or a related field (or graduating soon)
  • Good understanding of at least one programming language (Java, Python, C++, Golang)
  • Good knowledge and able to work with SQL
  • Solid understanding of computer science fundamental knowledge (system, network)
  • Exposure to big data concepts through coursework, internships, or projects
  • Eagerness to work with large datasets and cloud-based data platforms
  • Willingness to learn new tools and follow team best practices

💼 For 1–2 Years Experience

  • 1–2 years of experience in data engineering and backend development
  • Proficient in Java or Python development with demonstrated project experience
  • Familiar with SQL, understand the performance and optimization
  • Familiar with big data related tech stacks (eg. Spark, Flink, Iceberg, Hadoop, Hive) and data pipeline design
  • Experience with cloud services (eg. S3, Cloud Functions, Kubernetes)
  • Able to troubleshoot data issues and build scalable data solutions

Nice to Have (For All Levels):

  • Experience with data orchestration tools (Airflow, Prefect, Dagster, etc.)
  • Familiarity with big data tools (Spark, Kafka, Hadoop)
  • Exposure to data visualization tools (e.g., Looker, Tableau)
  • Understanding of CI/CD, containerization (Docker), and infrastructure-as-code
  • Contributions to personal or open-source data projects
  • Knowledge of data privacy and compliance (GDPR, HIPAA, etc.)

Soft Skills:

  • Passionate on techniques and real-world problem solving
  • Team player with good communication skills
  • Open to feedback and continuous improvement
  • Responsible and proactive in solving data challenges
  • Eagerness to explore new tools and share knowledge

What We Offer

  • Structured onboarding and mentorship to grow your data skills
  • Opportunities to work on real-world data systems with production impact
  • A collaborative, knowledge-sharing team culture
  • Clear growth paths toward analytics engineering, senior data engineering, or data platform roles

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