Staff Data Engineer

2 weeks ago

Toronto, Ontario, Canada Rakuten Kobo Inc. Full time

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 Job Summary:
We're looking for a Staff Data Engineer with strong back-end experience to join our growing Data Engineering team. Our group, based out of San Mateo, CA, is responsible for building software used by millions of users. You will work in a Tribe/Squad and supporting data group structure and will maintain enterprise data products related to member, merchant, and transactions data. Our team serves as a cornerstone for various stakeholders including Finance, Legal, Customer Service, Sales, Site Ops, and Data Governance. As part of our team, you'll experience the best of both worlds, challenging work at a large profitable multinational company with the rapid growth and agility of a startup. In this role, you will be responsible for processing, reviewing and organizing data. You will provide accurate, timely, and consistent data to the organization and will create data management plans including data acquisition & cleansing, data validation activities, writing specifications for data verifications, etc. You will gather input from cross-functional teams, creating plans that help produce deliverables on schedule while ensuring consistency of data and processes. Lastly, you will oversee and resolve the operational aspects of data management, identifying inefficiencies and implementing process improvements. Key Responsibilities:
  • Develops and maintains robust data models to support business requirements, analytical needs and machine learning use cases.
  • Designs and implements efficient ETL/ELT processes to ingest, transform, and load data.
  • Optimizes data pipelines for performance, scalability, and reliability.
  • Collaborates with cross-functional teams and multiple disciplines to understand data requirements and provide technical expertise on data-related projects.
  • Implements data governance best practices to ensure data quality, integrity, and security.
  • Builds and maintains documentation for data processes, data dictionaries, and data lineage.
  • Applies highly developed knowledge of complex algorithms, data science methods, and statistical analysis techniques to prepare and present data visualizations to key stakeholders and leaders of relevant business units.
  • Remains current with industry trends and best practices in data engineering, cloud technologies, and data analytics.
  • Coaches and trains junior colleagues in techniques, processes, and responsibilities.

Qualifications:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • Proven experience (8+ years) as a Data Engineer or similar role, with a focus on data modeling, SQL, Python, and Snowflake.
  • Strong proficiency in SQL for data manipulation and querying.
  • Hands-on experience with cloud-based data platforms, particularly Snowflake.
  • Solid understanding of data warehousing concepts, dimensional modeling, and ETL/ELT processes.
  • Strong communication and collaboration skills, with the ability to work effectively in a team environment.
  • Excellent problem-solving skills and the ability to translate business requirements into technical solutions.
  • B.S. or M.S in Computer Science or equivalent experience.
  • 8-11 years of experience in data engineering or related roles.
  • Proficiency in SQL and Python.
  • Experience with cloud-based data warehousing platforms.

#LI-CW1

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 Professiona l - 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, 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.

About Us

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.

Everyday team members 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 .

The Consolidated Appropriations Act's Transparency in Coverage Rules require group health plans to disclose on a public website information regarding in-network provider rates and historical out-of-network allowed amounts and billed charges for covered items and services in two separate machine-readable files (MRFs). The MRFs for Rakuten's Aetna benefit plan are provided in the link below.

#J-18808-Ljbffr

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