Rakuten is Recruiting Data Engineer-2024 | Apply Right Now!

Rakuten, a worldwide era agency based in Japan, is renowned for its numerous portfolio of services spanning e-commerce, fintech, virtual content, and communications. Founded in 1997, Rakuten is Recruiting Data Engineer has emerged as a frontrunner in the virtual market, offering modern solutions to consumers and corporations internationally. With a challenge to empower humans and companies to thrive, Rakuten maintains to expand its reach through strategic partnerships and investments. Committed to handing over first-rate patron stories, Rakuten stands at the leading edge of the era, riding innovation and shaping the destiny of commerce. Join Rakuten to be a part of a thrilling adventure of increase and transformation.

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Company: Rakuten
Job Role: Data Engineer
Location: Toronto, Canada
Salary: 67k – $114k
Experience: Fresher or Experienced
Qualification: Bachelor’s Degree

Rakuten is Recruiting Data Engineer:-

Rakuten, a worldwide era leader, is searching for a professional Data Engineer to join our dynamic group. In this function, you’ll be instrumental in designing, constructing, and keeping the records infrastructure that powers Rakuten’s diverse portfolio of services. From e-commerce to fintech and virtual content material, Rakuten is predicated on sturdy information systems to pressure innovation and deliver superb client stories.

As a Data Engineer, you’ll collaborate with pass-functional groups to make sure the reliability, scalability, and performance of our statistics pipelines and garage solutions. Join Rakuten and play a key function in shaping the destiny of trade via records-pushed insights and solutions.

Qualifications Required for Data Engineer:-

Bachelor’s degree or better in Computer Science, Engineering, Mathematics, or a related place.
Proven experience as a Data Engineer or comparable role, with know-how in fact processing, ETL, and database technologies.
Proficiency in programming languages which includes Python, Java, or Scala, and enjoy SQL and scripting languages.
Experience with disbursed computing frameworks which include Apache Hadoop, Spark, or Flink.
Strong expertise in facts modeling, schema design, and database optimization techniques.
Familiarity with cloud systems including AWS, GCP, or Azure, and enjoy cloud-primarily based completely statistics offerings (e.g., S3, Redshift, BigQuery).
Excellent hassle-solving, analytical, and verbal exchange abilities, with the potential to work efficiently in a brief-paced and collaborative surrounding.

Key Responsibilities:-

Design, broaden, and keep data pipelines and ETL tactics to ingest, procedure, and remodel massive volumes of facts.
Build and optimize facts garage answers, along with data warehouses, records lakes, and NoSQL databases.
Collaborate with statistics scientists and analysts to put into effect information fashions and algorithms for advanced analytics and gadget mastering.
Ensure records are excellent and integrity with the aid of imposing records validation, cleaning, and tracking procedures.
Develop and hold documentation, great practices, and standards for facts engineering procedures, and equipment.
Stay present-day with enterprise trends and fine practices in information engineering, recommending and imposing new technologies and strategies as appropriate.
Support and troubleshoot records-related troubles, taking part with stakeholders to perceive and solve issues.

Key Skills Required:-

Data Engineering: Proven revel in designing, building, and retaining facts pipelines and ETL strategies.
Programming Languages: Proficiency in Python, Java, or Scala, with experience in SQL and scripting languages.
Big Data Technologies: Familiarity with allotted computing frameworks like Apache Hadoop, Spark, or Flink.
Database Management: Strong understanding of data modeling, schema format, and database optimization strategies.
Cloud Platforms: Experience with cloud structures together with AWS, GCP, or Azure, and cloud-based records services (e.g., S3, Redshift, BigQuery).
Problem-solving: Excellent analytical abilities and the capability to troubleshoot records-related issues successfully.
Communication: Effective communique skills to collaborate with flow into realistic teams and stakeholders.
Adaptability: Ability to comply with new generations and techniques in a brief-paced and dynamic environment.
Attention to Detail: Thoroughness and interest in elements to make sure facts are amazing and integrity.
Teamwork: Strong teamwork and collaboration capabilities to work efficiently in a numerous and collaborative environment.

Why Join Rakuten?

It is an international technology leader, to power innovation and shape the future of trade. With diverse services spanning e-trade, fintech, virtual content material, and communications, It gives unprecedented opportunities for increase and effect. Collaborate with talented experts from around the world, solve complicated demanding situations, and make a significant difference in the lives of tens of millions of clients.It values innovation, creativity, and collaboration, supplying a supportive and inclusive painting environment wherein employees can thrive. Join us and liberate your capability to drive innovation in commerce.

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