Bachelors/master s degree in quantitative field (Statistics/ Business/Computer Science / Math / Finance / equivalent)
Minimum 2+ years of experience in Azure Cloud, Spark, Hadoop, Big Data, Data Analytics, Data Lake.
Hands-on and deep expertise in AWS Data Services. Excellent Knowledge of Hadoop architecture, including YARN, HDFS, etc.
Min. 1.5 years of strong Hadoop/Big Data experience with an overall industry experience of 3+ years at various levels.
Strong experience in Spark using Scala and/or Python Strong knowledge of machine learning, statistics, and related fields.
Strong on one or more of data visualization tools like Tableau, R shiny, Qlik Sense, etc.
Strong analytical skills and business requirement understanding skills Experience working in an Agile / Scrum team environment
Excellent with written and verbal communication and attitude to thrive in a fun, fast-paced startup-like environment.
Good to have:
Familiarity with the concept of data lake/platform and enabling technologies
Certification in Azure Cloud/Big Data technologies is a plus
Experience, knowledge on SQL Experience in manufacturing / agriculture / pharms industry or Operations domain.
What you will do
Exploration of new technologies on Cloud.
Expected to continue being hands-on in required technical areas).
Assist lead in Design and Architecture work.
Work with the business user community to understand business process challenges and identify solution opportunities within Big Data Analytics area.
You need to develop, implement and maintain test strategies and plans.
Your responsibilities includes support Pre-sales team. Willing to travel to client location (outside India).
Ideate and build PoCs and Accelerators for the Big Data and Analytics Centre of excellence.
Job Classification
Industry: IT-Software, Software Services Functional Area: IT Software - System Programming, Role Category: Programming & Design Role: Programming & Design Employement Type: Full time
Education
Under Graduation: Any Graduate in Any Specialization Post Graduation: Any Postgraduate in Any Specialization Doctorate: Any Doctorate in Any Specialization, Doctorate Not Required