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Big Data Engineer
Big Data Engineer
Rakuten's logo

Big Data Engineer

Agency job
via zyoin
5 - 8 yrs
₹20L - ₹38L / yr
Remote, Bengaluru (Bangalore)
Skills
Big Data
Spark
Hadoop
Apache Kafka
Apache Hive
skill iconScala
Apache Sqoop
Cassandra
NOSQL Databases

Company Overview:

Rakuten, Inc. (TSE's first section: 4755) is the largest ecommerce company in Japan, and third largest eCommerce marketplace company worldwide. Rakuten provides a variety of consumer and business-focused services including e-commerce, e-reading, travel, banking, securities, credit card, e-money, portal and media, online marketing and professional sports. The company is expanding globally and currently has operations throughout Asia, Western Europe, and the Americas. Founded in 1997, Rakuten is headquartered in Tokyo, with over 17,000 employees and partner staff worldwide. Rakuten's 2018 revenues were 1101.48 billions yen.   -In Japanese, Rakuten stands for ‘optimism.’ -It means we believe in the future. -It’s an understanding that, with the right mind-set, -we can make the future better by what we do today. Today, our 70+ businesses span e-commerce, digital content, communications and FinTech, bringing the joy of discovery to more than 1.2 billion members across the world.


Website
: https://www.rakuten.com/">https://www.rakuten.com/

Crunchbase : https://www.crunchbase.com/organization/rakuten">Rakuten has raised a total of https://www.crunchbase.com/search/funding_rounds/field/organizations/funding_total/rakuten">$42.4M in funding over https://www.crunchbase.com/search/funding_rounds/field/organizations/num_funding_rounds/rakuten">2 rounds

Companysize : 10,001 + Employees

Founded : 1997

Headquarters : Tokyo, Japan

Work location : Bangalore (M.G.Road)


Please find below Job Description.


Role Description – Data Engineer for AN group (Location - India)

 

Key responsibilities include:

 

We are looking for engineering candidate in our Autonomous Networking Team. The ideal candidate must have following abilities –

 

  • Hands- on experience in big data computation technologies (at least one and potentially several of the following: Spark and Spark Streaming, Hadoop, Storm, Kafka Streaming, Flink, etc)
  • Familiar with other related big data technologies, such as big data storage technologies (e.g., Phoenix/HBase, Redshift, Presto/Athena, Hive, Spark SQL, BigTable, BigQuery, Clickhouse, etc), messaging layer (Kafka, Kinesis, etc), Cloud and container- based deployments (Docker, Kubernetes etc), Scala, Akka, SocketIO, ElasticSearch, RabbitMQ, Redis, Couchbase, JAVA, Go lang.
  • Partner with product management and delivery teams to align and prioritize current and future new product development initiatives in support of our business objectives
  • Work with cross functional engineering teams including QA, Platform Delivery and DevOps
  • Evaluate current state solutions to identify areas to improve standards, simplify, and enhance functionality and/or transition to effective solutions to improve supportability and time to market
  • Not afraid of refactoring existing system and guiding the team about same.
  • Experience with Event driven Architecture, Complex Event Processing
  • Extensive experience building and owning large- scale distributed backend systems.
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Subodh Popalwar

Software Engineer, Memorres
For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.
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About Rakuten

Founded :
1993
Type :
Product
Size :
500-1000
Stage :
Profitable

About

Rakuten India - Largest Development Center of Rakuten outside Japan
Read more

Company video

Rakuten's video section
Rakuten's video section

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Tarun Kumavat

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Subodh Popalwar's profile image

Subodh Popalwar

Software Engineer, Memorres
For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.
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