Sr. Data Engineer

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 Rewards is a leading e-commerce company that enhances the way people shop by offering Cash Back, deals and rewards from more than 3,500 merchants. Founded in 1999, Rakuten has grown to become the go-to shopping destination for consumers, having paid out nearly $2 billion in Cash Back to its 15 million members. The company also operates ShopStyle, a leading fashion discovery destination, and Cartera Commerce, a top rewards platform for airlines and banks. For more information, visit www.rakuten.com.

Job Summary:

Rakuten Rewards is looking for Senior level Software Engineer with a thorough background of data engineering and machine learning, who is eager to solve data engineering challenges by joining 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 data engineering background and is an individual who is looking to deepen their experience in a high-impact environment, this is a great place to be. Working in a Data Mesh structure, the position will be with one of the data groups that is responsible for enterprise data management that will help us with our 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

• Data Architecture & Design: Create and maintain resilient and scalable data pipelines along with meaningful data models, schemas and ETL
• Data Quality & Governance: Define and enforce data cataloging, lineage and access controls. Perform data profiling and regional access management on data.
• Collaboration & Cross-Functional Support: Partner with data scientist, analysts, and product teams to understand data needs and transform business solutions into technical requirements.
• Understand & Guide DevOps and Infrastructure: Optimize performance and cost of data platforms (mainly snowflake)
• Mentorship & Leadership : Lead technical discussions and contribute to architecture decision-making while defining and promoting engineering best practices

Qualifications:

• Strong computer science fundamentals such as algorithms, data structures,  databases, distributed computing
• Strong knowledge of Spark, AWS, Kubernetes and Snowflake
• Should be ready to master the skills in Python, SQL and scientific python ecosystem, pandas, machine Learning and data engineering.
• Have a keen sense of code hygiene: review, documentation, testing CI/CD.
• Internal knowledge of implementing or prototyping machine learning in Python or other languages.
• Sufficient knowledge of programming paradigms (multithreading, caching, performance tuning).
• Strong orientation towards data and data driven decisions.
• Distributed computing concept is an absolute MUST

Minimum Requirements:

• B.S. or M.S in Computer Science, Data Science, Machine Learning, or related experience
• 7 + years of professional experience on data engineering

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

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,