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.
-
- 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.
For More Other Jobs:
Merchandising Clerk Job at Loblaw
CPKC is hiring for Payroll Analyst
