Big Data Analyst
TEG BUSINESS SOLUTIONS PVT LTD
Chennai, Tamil Nadu, India
2h ago

What you get to do

  • Work with like minded people to shape the vision for the new stack. Looking back you will be able to say we did it
  • Research / Experiment / / Learn with each iteration to build the stack
  • Develop responsive front-ends to deliver seamless experience for business users across various devices
  • Mash up data from seemingly unrelated sources to create opportunities for fresh insights
  • Ability to process large volume of data at the velocity required by business
  • Ingest structured and unstructured data from variety of data sources
  • Build scalable and high-performance solutions
  • High-speed querying.
  • Participate in workshops with clients to understand the business needs
  • Stay abreast of latest developments in the BIG DATA space
  • What you will need to make an Impact

  • Resilience Not afraid of failures and comfortable being un-comfortable
  • Frugality Do more with less to recognize the fact that time is a limited resource and sometimes first to market is more important than the best solution
  • Think and act flexibly as there are multiple ways to attack a problem and build the solution. We call it the legoland
  • Keep it simple. Nothing beats the simplicity of Google search but it takes a mammoth effort on the back end to deliver something simple yet extremely powerful
  • Passion A self-starter who is excited by a fast-paced environment and the accountability that comes with working in cross-functional teams
  • Some routine stuff BE / BTech / MCA in computer science2-3 years of product development experienceWell read
  • Expertise in some of the following : Distributed computing principlesNoSQL databases, such as HBase, Cassandra, MongoDBETL frameworks, such as FlumeMessaging systems, such as Kafka or RabbitMQBig Data ML toolkits, such as Mahout, SparkML, or H2OCloudera / MapR / HortonworksHadoop clusters, Kylin, PostgresAmazon cloud and web servicesStream-
  • processing systems, using solutions such as Storm or Spark-StreamingBig Data querying tools, such as Pig, Hive, and Impala

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