Data Engineer

Job Title : Data Engineer

Job location : Bangalore

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 i t 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 area s 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, d igital 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/ .

Job Description -

Rakuten Rewards Rakuten Rewards is looking for junior level Software Engineer with the background of data engineering and is keen to learn machine learning, who is eager to solve data engineering challenges to join our team. We're a distributed team across the US responsible for building end-to-end production grade pipelines etc and machine learning systems used by millions of users. If you have the software engineering background who is interested in creating / managing data pipelines and wants to gain experience in this field, this is a great place to be. As part of the Rakuten Rewards team, you'll experience the best of both worlds, a large profitable multinational company with the rapid growth and agility of a startup. Working in a Data Mesh structure, the position will be with one of the data groups that is responsible for developing data products that will help us with engagement marketing efforts, sale forecasts, and relevancy to fulfill the needs of our merchant partners and members alike. We strive to build the best technology that fits our business needs.

KEY RESPONSIBILITIES

• Collaborate with Data Scientists and business stakeholders to apply data pipelines and ML to solve real world problems.

Tools: Scikit-Learn, xgBoost, Pytorch, Pytorch Lightning, Prophet, Gensim, DVC, Ray, BentoML.

• Productionize ML solutions end to end in a scalable environment.

• Design, develop, deploy, improve, and maintain ML and deep learning systems from data collection to monitoring in batch and real-time.

• Develop and maintain automated data pipelines using Snowflake, Argo, Airflow, AWS EKS, Spark, Python and dbt.

• Champion software engineering best practices.

• Contribute to design and code reviews.

• Break work into concise deliverables for iterative product delivery.

• Own solutions end to end from conception to release.

• Debug and resolve issues across multiple technology stacks and services.

MINIMUM REQUIREMENTS :

• Strong computer science fundamentals such as algorithms, data structures, databases, distributed computing.

• Ready to master Python, SQL and scientific python ecosystem – numpy, pandas, machine learning and data engineering.

• Code hygiene: review, documentation, testing, CI/CD.

• Knowledge of implementing or prototyping machine learning in Python or other languages.

• Programming paradigms: multithreading, caching, performance tuning. • Strong orientation towards data driven decisions.

• B.S. or M.S in Computer Science, Data Science, Machine Learning, or related experience.

GOOD TO HAVE

• 1+ years of professional software development experience.

• Backend developers who want to switch to data engineered systems are encouraged.

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.