• US Citizen

• Green Card

• Corp-Corp

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 20th Oct 2022

· Should have thorough understanding of Hadoop concepts

· Good python skills following software engineering best practices Comfort & familiarity with SQL and Hadoop ecosystem of tools including spark Understanding of foundational Machine Learning concepts and some Deep Learning basics

· Candidate with a mixture of Software Development, Data Engineering and Data Science skills

· Strong Software Development and Engineering skills with some basic knowledge in Machine Learning and Deep Learning

· Ability to write efficient code-- Good understanding of core Data Structures/algorithms is critical for engine development

· 5+ years’ experience in any flavor of SQL dealing with complex queries, analytics and data models.

· 3+ years’ experience in any of the modern programming languages

· Must have 4+ years of experience in Spark

· Should have Python programming experience

· Should have experience in AWS services like Glue, S3, Athena, EMR

· Should have experience in Windows Powershell scripting

· Good Analytical skills and experience in cross functional team environment

· Healthcare domain knowledge is preferred

· The work will entail heads down coding, testing, data analysis, component packing/deployment

· Strong SQL, Teradata, unix, Strong standard Big Data/hadoop skillset (Hadoop hive, sqoop, hdfs, etc) String Spark/python/scala

· 3+ solid yrs experience with the above skillset

Responsibilities

· Design, code, install, and maintain appropriate systems software program.

· This is a lower level development role - Which means absolute hands on expertise is mandatory

· Identify, evaluate, tailor, and direct the implementation of vendor-supplied software packages.

· Ensure the maintenance of adequate software systems documentation.

· Conduct quality assurance activities such as peer reviews and test plan development

· Work on sprint team in agile, rapid development and deployment environment