Job Description

JOB SUMMARY:

We're looking for a

Data Engineer

to join our growing data team. This role is open to

fresh graduates

and

early-career professionals (1-2 years of experience)

who are excited about building data pipelines, transforming raw data into meaningful insights, and working with modern data technologies. You'll collaborate with data analysts, software engineers, and product teams to ensure that data flows smoothly across our systems and is reliable, secure, and accessible.


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 scalable

data pipelines

and

ETL/ELT workflows

Clean, transform, and optimize raw data for storage and analysis Work with structured and unstructured data from various sources (databases, APIs, files, etc.) Ensure data quality, accuracy, consistency, and availability Support data infrastructure (e.g., data lakes, data warehouses) and performance tuning Collaborate with analysts, data scientists, and backend teams 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 Best practices in

data governance

,

privacy

, and

security

Collaboration in agile, cross-functional teams with product, engineering, and analytics

Qualifications

#

For Fresh Graduates

Bachelor's degree in Computer Science, Data Engineering, Software Engineering, or a related field (or graduating soon) Understanding of SQL and at least one programming language (Python preferred) Exposure to 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, backend development, or analytics engineering Proficient in SQL and Python Familiar with ETL tools, data pipeline design, and version control (Git) Experience with cloud services (e.g., S3, Lambda, Cloud Functions, or GCP Dataflow) 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

Analytical mindset and strong attention to detail 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 Bilingual in English and Chinese to understand Chinese technical requirements and liaise with Chinese speaking counterparts.

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