Junior Data Engineer

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