Technical Lead, Data Engineering
First seen by Alion on Nov 7, 2026. Rakuten Symphony scores D on the Alion truth index.
Job Title: Technical Lead, Data Engineering (5-8 Yrs)
Location: Bangalore (Hybrid)
Why should you choose us
Rakuten Symphony is reimagining telecom, changing supply chain norms and disrupting outmoded thinking that threatens the industry's pursuit of rapid innovation and growth. Based on proven modern infrastructure practices, its open interface platforms make it possible to launch and operate advanced mobile services in a fraction of the time and cost of conventional approaches, with no compromise to network quality or security.
Rakuten Symphony has operations in Japan, the United States, Singapore, India, South Korea, Europe, and the Middle East Africa region. For more information, visit: https://symphony.rakuten.com.
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 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 2 billion members around the world. The Rakuten Group has over 30,000 employees, and operations in 30 countries and regions. For more information visit https://global.rakuten.com/corp/.
What Do We Expect From You
Our Data Platform team is building a world-class autonomous data service platform to cater services such as data lake as a service, database as a service, data transformation as a service and AI services.
We are looking for a Data Engineer to help us build functional systems for our data platform services.
For our autonomous data platform services as a Data Engineer you will be responsible for the end-to-end research and development of relevant features for the platform following the product lifecycle of the offerings.
If you have in-depth knowledge in Spark, NiFi and other distributed systems, we'd like to meet you.
Ultimately, you will develop various self-managed and scalable services of the data platform which will be offered as cloud services to the end users.
Responsibilities
- Research and comparative analysis
- System architecture design
- Implement integrations
- Deploy updates and fixes
- Perform root cause analysis for production errors
- Investigate and resolve technical issues
- Architecture and support documentation
Qualifications
- Work experience as a Data Engineer role with 5-8 years of experience.
- Good knowledge of NiFi, Spark and distributed eco systems, knowledge of Kubernetes application development, how to make K8 centric applications is a plus
- Experience in exploratory data analysis and data visualization.
- Expertise in development using Java/Scala
- Must be able to quickly design and implement tolerant and highly available pipelines using distributed eco systems and should have hands-on experience with any NoSQL DB, Presto/Trino, ClickHouse, NiFi, Airflow and Casandra
- Sound knowledge of Data Quality, Governance, Data modelling, CDM and popular data architecture patterns.
- Experience in developing API using FastAPI.
- Problem-solving attitude, tinkering approach, and creative thinking
- Must be a strong team player
Additional Qualifications (Helpful):
- Bachelor's degree in Computer Science Engineering, IT, or a related field.
- Familiarity with the telecom industry and its key players.
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.