Associate Engineer/Engineer, Data Engineering

Rakuten Kobo Inc.; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

Rakuten Kobo Inc. in Singapore is seeking a talented Data Engineer to create scalable data pipelines and maintain application integrity. The role involves performing root-cause analyses and using tools like Hadoop and Spark.

The ideal candidate will possess a degree in Computer Science and have 1-4 years of experience in backend or data engineering. Strong SQL skills and an eagerness to learn are essential in this dynamic role.

Qualifications

• 1-4 years of experience in Data, Backend, SRE, or Platform Engineering.
• Good working knowledge of relational databases.
• Experience with big data tools like Hadoop, Spark, Kafka.

Responsibilities

• Translate pipelines into reusable and scalable data pipelines.
• Perform root-cause analysis on data systems.
• Improve and maintain the correctness and performance of applications.

Skills

SQL knowledge

Data pipeline development

Communication skills

Self-motivated

Python programming

Education

Bachelor’s or Master’s in Computer Science or related field

Tools

Hadoop

Spark

Kafka

Hive

Airflow

Job description

Rakuten International oversees 7 businesses with over 4,000 employees globally. The brand is recognized for its leadership and innovation in e-commerce, digital content, advertising, entertainment and communications, bringing the joy of discovery and access to more than 1 billion members across the world.

Our platform enables millions of viewers to discover and enjoy primetime shows and movies, subtitled in over 150 languages. Based in Singapore, this role will report to the Engineering Manager.

Key Responsibilities

• Translate the pipelines into reusable and scalable data pipelines and frameworks for ingestion, processing, storage and consumption.
• Perform root‑cause analysis on internal and external data systems to answer specific business questions.
• Improve and maintain the existing application and workflows’ correctness, performance, SLAs and architecture’s integrity.
• Uphold adherence to the right data engineering practices while building data systems and pipelines, such as writing clean, efficient code, proper automation testing, CI/CD, logging, monitoring and alerting.
• Participate in code reviews and ensure high standards of code quality, in addition to ensuring that development guidelines are followed.

Requirements

• Bachelor’s or Master’s in Computer Science or a related field.
• 1‑4 years of experience in Data / Backend / SRE / Platform Engineering (fresh graduates are also encouraged to apply).
• Good communication skills and ability to explain technical concepts, thoughts, ideas or issues to team members.
• A self‑starter and self‑driven attitude with an appetite for continuous learning and improvement.
• Good working SQL knowledge and experience working with relational databases.
• Experience building big data data pipelines and data sets.
• Working knowledge of the big data stack such as Hadoop, Spark, Kafka, Hive, etc., or equivalent SQL and NoSQL databases.
• Orchestration or workflow management tools such as Airflow or equivalent.
• Any cloud experience is good to have, but not mandatory.
• Stream‑processing systems: Flink, Spark‑Streaming, etc., or equivalent.
• Experience with one or more object‑oriented/object‑function scripting languages: Python, Scala or equivalent.

Rakuten provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type. Rakuten considers applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetic information, protected veteran status, sexual orientation, gender, gender identity or expression, or any other characteristic protected by federal, state, provincial or local laws.