Deskripsi Pekerjaan
Join Zenith Learning Group Pte Ltd as a Data Engineer Intern and become a key player in our data-driven ecosystem. This role offers hands-on experience in designing, implementing, and maintaining robust data pipelines that power our analytics and machine learning initiatives. You'll document data contracts and pipeline architectures to ensure seamless knowledge transfer and future-proof our infrastructure. This is a unique opportunity to work with cutting-edge technologies while contributing to projects that impact business decisions across diverse industries.
We're seeking curious problem-solvers passionate about transforming raw data into actionable insights. You'll collaborate with senior engineers to optimize data workflows, troubleshoot pipeline issues, and implement best practices in data governance. The internship provides mentorship in cloud platforms (AWS/GCP/Azure), ETL processes, and data modeling techniques. If you're eager to build a foundation in data engineering while solving real-world challenges, this is your chance to accelerate your career in one of Asia's most dynamic tech hubs.
Tanggung Jawab
- Design, implement, and maintain scalable data pipelines using technologies like Apache Spark, Airflow, and Kafka
- Create comprehensive documentation for data contracts, schemas, and pipeline architectures
- Collaborate with data scientists and analysts to understand requirements and deliver data solutions
- Optimize data processing workflows for performance, reliability, and cost-efficiency
- Implement data quality checks and monitoring systems to ensure pipeline integrity
- Assist in migrating legacy systems to modern data platforms
- Participate in code reviews and contribute to engineering best practices
Kualifikasi
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Engineering, or related field
- Proficiency in Python and SQL with experience in data manipulation libraries (Pandas, NumPy)
- Familiarity with cloud platforms (AWS, GCP, or Azure) and big data technologies (Hadoop, Spark)
- Understanding of data modeling concepts and database design principles
- Strong analytical skills with ability to troubleshoot complex data issues
- Excellent written communication skills for technical documentation
- Ability to work independently and collaborate effectively in cross-functional teams