Data Engineer

Job title:

Information Engineer

Firm

Job description

Job Description:Rakuten Worldwide oversees 7 companies with over 4,000 staff globally. The model is acknowledged for its management and innovation in e-commerce, digital content material, promoting, leisure, and communications, bringing the enjoyment of discovery and entry to greater than 1 billion members the world over. Our groups ship on the corporate’s mission to thrill retailers and prospects by way of innovation, optimism, and teamwork.Rakuten Rewards is a number one e-commerce firm that enhances the best way individuals store by providing Money Again, offers and rewards from greater than 3,500 retailers. Based in 1999, Rakuten has grown to turn out to be the go-to buying vacation spot for shoppers, having paid out almost $2 billion in Money Again to its 15 million members. The corporate additionally operates ShopStyle, a number one trend discovery vacation spot, and Cartera Commerce, a high rewards platform for airways and banks. For extra data, go to www.rakuten.com.JOB SUMMARY:The Information Engineer place at Rakuten.com in Toronto gives an thrilling alternative to contribute to the event and upkeep of member profile graph database infrastructure. You’ll play an important position in optimizing database schemas, sustaining information pipelines, and collaborating with cross-functional groups to reinforce personalised experiences and focused advertising methods.KEY RESPONSIBILITIES:

  • Help in sustaining and optimizing graph database schemas tailor-made for member profile administration.
  • Help the event and upkeep of strong information pipelines and integration processes.
  • Collaborate with senior information engineers, information scientists, and analysts to optimize question efficiency.
  • Implement information integration methods between graph databases and Snowflake.
  • Contribute to documenting technical designs, procedures, and finest practices.
  • Design and implement backend APIs for information entry and manipulation throughout the graph database.

QUALIFICATIONS:

  • Familiarity with graph database applied sciences comparable to TigerGraph, Neo4j, Amazon Neptune.
  • Proficiency in programming languages comparable to Python, Java, or Scala.
  • Fundamental understanding of knowledge modeling, question optimization, and efficiency tuning ideas in graph databases.
  • Information of knowledge integration strategies and instruments for graph databases.
  • Expertise in designing and implementing backend APIs.
  • Familiarity with cloud platforms (e.g., AWS, Azure) and associated providers for information storage and processing.
  • Information of Snowflake information warehousing platform.

MINIMUM REQUIREMENTS:

  • Diploma Necessities: Bachelor’s or Grasp’s diploma in Laptop Science, Engineering, or associated subject.
  • Years of Expertise: 2+ years of expertise in information engineering roles.

5 Rules for Success
Our worldwide practices describe particular behaviors that make Rakuten distinctive and united the world over. We anticipate Rakuten staff to mannequin these 5 Shugi Rules of Success.All the time enhance, All the time Advance – Solely be happy with full success – Kaizen
Passionately Skilled – Take an uncompromising strategy to your work and be decided to be one of the best
Hypothesize – Follow – Validate – Shikumika – Use the Rakuten Cycle to reach unknown territory
Maximize Buyer Satisfaction – The best satisfaction for our groups is seeing their prospects smile
Pace!! Pace!! Pace!! – All the time take heed to time – take cost, set clear objectives, and interact your staffRakuten offers equal employment alternatives to all staff and candidates for employment and prohibits discrimination and harassment of any kind. Rakuten considers candidates for employment with out regard to race, shade, faith, age, intercourse, nationwide origin, incapacity standing, genetic data, protected veteran standing, sexual orientation, gender, gender identification or expression, or another attribute protected by federal, state, provincial or native legal guidelines.

Anticipated wage

Location

Toronto, ON

Job date

Thu, 04 Apr 2024 05:36:58 GMT

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