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 teams deliver on the company’s mission to delight merchants and customers through innovation, optimism, and teamwork.

Rakuten Viki is a global entertainment streaming platform that specializes in Asian content. Our platform enables millions of viewers to discover and enjoy primetime shows and movies, subtitled in over 150 languages. Headquartered in San Mateo, California, we also have offices in Singapore, Seoul, and Shanghai, ensuring a strong global presence and a deep connection to the heart of Asian entertainment. Our platform is home to a large and loyal community of fans who share a passion for Asian culture and entertainment. Join us in our mission to bridge cultures and connect the world to Asian entertainment. At Rakuten Viki, we offer a chance to be part of a global community that celebrates culture, creativity, and connection.

Based in Singapore, this role will report to the Engineering Manager.

Key Responsibilities:

Translating 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
Improving and maintaining the existing application & workflows’ correctness, performance, SLAs and architecture’s integrity
Upholding adherence to the right data engineering practices while building the data systems and pipelines, such as writing clean, efficient code, proper automation testing, CI / CD, logging, monitoring and alerting
Participate in code reviews and ensuring high standards of code quality, in addition to ensuring that development guidelines are followed

Requirements:

Bachelors or Masters 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 and will be considered
Good communication skills and are able to explain technical concepts, thoughts, ideas or issues to the other members of the team
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.

Five Principles for Success
Our worldwide practices describe specific behaviors that make Rakuten unique and united across the world. We expect Rakuten employees to model these 5 Shugi Principles of Success.

Always improve, Always Advance - Only be satisfied with complete success - Kaizen
Passionately Professional - Take an uncompromising approach to your work and be determined to be the best
Hypothesize - Practice - Validate – Shikumika - Use the Rakuten Cycle to succeed in unknown territory
Maximize Customer Satisfaction - The greatest satisfaction for our teams is seeing their customers smile
Speed!! Speed!! Speed!! - Always be conscious of time - take charge, set clear goals, and engage your team

Associate Engineer/Engineer, Data Engineering