Bachelors/master s degree in quantitative field (Statistics/ Business/Computer Science / Math / Finance / equivalent)
Minimum 3+ 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. 3 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.
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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: Post Graduation Not Required Doctorate: Any Doctorate in Any Specialization