ELK Kafka Admin
Rakuten India
Bengaluru, Karnataka, India
4d ago
source : Linkedin

About Us

Founded in 1997, Rakuten Group is headquartered in Tokyo, with over 14,000 employees worldwide. Rakuten started as the largest eCommerce company in Japan, but has now become one of the largest internet conglomerates in Japan offering more than 70 services worldwide including Fintech businesses (Card, Securities, Bank and insurance) as well as newly-entered mobile carrier business as 4th carrier in Japan.

Rakuten’s vision is to become the worlds’ biggest membership company. Rakuten provides the opportunities where employees can grow in a large dynamic and innovative company, along with the entrepreneurial environment of a startup.

Rakuten’s global footprint spans six continents and multiple industries.

Rakuten India Development Centre is the second largest technology hub outside of Japan that enables & builds platforms for global E commerce, Payments, Digital, AI, Data Science services across the globe.

The India arm serves as a research and development center with an employee strength of around 1700(& Growing).

Responsibilities :

  • Plan and design new features for Event as a Service platform.
  • Development and operation for Event as a Service platform.
  • Testing and reporting new ideas and technologies.
  • Review and executing changes on Event as a Service platform to run business 24 / 7.
  • Incident handling, problem solving and trouble shooting.
  • Automate all the relative actions.
  • Support users for consultation, on-boarding and inquiries.
  • Minimum Qualifications :

  • 3+years of hands-on experience with Linux.
  • 3+ years of programming experience with at least 2 languages from the following(Java, Scala, Python, Bash)
  • 3+ years working experience as an administrator of kafka, elastic or nifi.
  • Experience with DevOps tools and technology such as Jenkins, git and chef.
  • Preferred Qualifications :

  • Knowledge of and / or experience with Docker and / or Kubernetes.
  • Experience with streaming frameworks such as Spark Streaming and / or Flink
  • Experience with a major Hadoop distribution (HDFS, Hive / HiveLLAP, MapReduce, Spark on Yarn)
  • Experience working with a BI Platform.
  • Experience with KVS, such as HBase, Couchbase, Cassandra, Redis
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