Manager - Cloud/Big Data ProductsTransOrg - Manager - Cloud/Big Data Products
TransOrg Solutions & Services (P) Ltd
13d ago

Why would you like to join us?

TransOrg Analytics, an award-winning - Big Data and Predictive analytics- company, offers advanced analytics solutions and services to industry leaders and Fortune 500 companies across India, US, Singapore, and the Middle East.

Our products like - Clonizo' yield significant business benefits to our clients. We were recognized by the CIO Review magazine as the -

Predictive Analytics Company of the Year- and by TiE for excellence in entrepreneurship.

Overview :

TransOrg is developing an automated machine learning product. This position is for "Manager - Analytics / Machine Learning products" who will be responsible for defining the product roadmap and manage its development.

Responsibilities :

  • Design & implement data pipelines using technologies from Hadoop EcoSystem, and AWS / Google cloud.
  • Benchmark systems, analyse system bottlenecks and propose solutions to eliminate them;
  • Clearly articulate the pros and cons of various technologies and platforms
  • Document use cases, solutions and system architecture;
  • Perform detailed analysis of business problems and technical environments and use this in designing the solution;
  • Be able to Creatively and analytically in a problem-solving environment;
  • Interact with clients and convert the business problem into system requirements
  • Lead a delivery process across multiple client engagements
  • Education & Skills Summary :

  • 7+ years- experience in building analytics solutions with 5+ years experience in Hadoop, Spark and Data Analytics using cloud technologies.
  • Experience in delivering data pipelines using Cloudera or Hortonworks distributions
  • Experience is delivering data pipelines on AWS or Google Cloud
  • Good knowledge of frameworks like Spark, Beam, Flink, HDFS, HIVE, HBASE
  • Good knowledge of SQL
  • Must have knowledge of tools like sqoop, flume, talend, and Kafka.
  • Candidates having knowledge of Machine Learning will be preferred.
  • Experience in product development is a must
  • Apply
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