TransOrg - Manager - Cloud/Big Data Products

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