Why should you choose us
Are you interested in working for a Global Leader in E-commerce & Technology Are you excited about working on highly scalable platforms and applications that are accessed by millions of users every day If so, read on to find out more about the opportunity.
Rakuten Symphony is a Rakuten Group company, providing global B2B services for the mobile telco industry and enabling next-generation, cloud-based, international mobile services. Building on the technology Rakuten used to launch Japan's newest mobile network, we are taking our mobile offering global.
To support our ambitions to provide an innovative cloud-native telco platform for our customers, Rakuten Symphony is looking to recruit and develop top talent from around the globe. We are looking for individuals to join our team across all functional areas of our business from sales to engineering, support functions to product development. Let's build the future of mobile telecommunications together!
About Rakuten
Rakuten Group, Inc. (TSE: 4755) is a global leader in internet services that empower individuals, communities, businesses and society. Founded in Tokyo in 1997 as an online marketplace, Rakuten has expanded to offer services in e-commerce, fintech, digital content and communications to approximately 1.5 billion members around the world. The Rakuten Group has over 27,000 employees, and operations in 30 countries and regions. For more information visit https://global.rakuten.com/corp/.
Key Responsibilities
- Drive the strategy and execution of Rakuten Mobile's data engineering roadmap, aligning with the company's goals and industry best practices.
- Design and implement high-availability and fault-tolerant data architectures capable of handling complex, distributed data systems.
- Define, guide, and refine architecture for data processing, pipeline design, and data storage solutions to support advanced analytics and real-time decision-making.
- Oversee the design, development, and optimization of large-scale ETL and ELT pipelines.
- Ensure seamless integration of diverse data sources using modern tools and technologies, enhancing data ecosystem efficiency and robustness.
- Lead, mentor, and develop a high-performing team of data engineers, fostering collaboration and continuous learning.
- Act as a technical leader, promoting best practices in data engineering, including coding standards, quality checks, and performance tuning.
- Supervise root cause analysis and troubleshoot production issues to ensure data accuracy, availability, and performance.
- Implement improvements based on technical incident post-mortems and lessons learned.
- Conduct research and comparative analysis on emerging data technologies to ensure Rakuten Mobile stays at the forefront of innovation.
- Recommend tools, frameworks, and methodologies that enhance data engineering efficiency, performance, and scalability.
- Ensure comprehensive documentation of data architecture, integrations, and pipelines for operational transparency and knowledge sharing.
- Champion data governance, compliance, and security best practices across the team and organization.
- Implement data pipeline monitoring and alerting systems to proactively identify, resolve issues and Optimize data pipelines for performance and cost-efficiency.
- Develop and maintain a comprehensive data catalog to ensure data discoverability and usability by Implementing data lineage tracking to provide visibility into data flow and transformations.
- Utilize advanced analytics and machine learning techniques to optimize data processing workflows.
- Implement caching and indexing strategies to improve data retrieval times.
- Create and maintain a knowledge base of best practices and lessons learned in data engineering.
Qualifications & Requirements
- 10-20 years of experience in data engineering, software engineering, or related fields, with a proven track record in large-scale, high-volume data environments.
- Prior experience in a senior or head-level data engineering role, with demonstrated leadership capabilities.
- Mastery of NiFi, Apache Spark, and distributed data ecosystems.
- Strong expertise in Java and Scala programming languages for data applications.
- In-depth experience with NoSQL databases, Presto, NiFi, Airflow, and complex SQL queries.
- Proficiency in Data Modeling for both SQL and NoSQL data stores.
- Hands-on experience in Kubernetes application development and K8s-centric applications.
- Experience with ETL pipeline development in public cloud environments (AWS, Azure, Google Cloud) is a strong advantage.
- Knowledge of POSTGIS and GeoSpark for geospatial data processing is beneficial.
- Familiarity with Spring Framework for web application development.
- Exceptional problem-solving abilities, capable of addressing complex technical challenges with a proactive, solution-oriented mindset.
- A collaborative team player with the ability to communicate complex technical information to both technical and non-technical stakeholders.
- Skilled in cross-functional collaboration, able to work effectively across departments and with senior leadership.
RAKUTEN SHUGI PRINCIPLES:
Our worldwide practices describe specific behaviours 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.
- Be 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 success in unknown territory.
- Maximize Customer Satisfaction. The greatest satisfaction for workers in a service industry is to see their customers smile.
- Speed!! Speed!! Speed!! Always be conscious of time. Take charge, set clear goals, and engage your team.
