Cloud Developer--Onsite--Weehawken,NJ

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Swati Mechu

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Oct 18, 2022, 11:56:54 AM10/18/22
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Role : Java Springboot Cloud developer 

Location: Weehawken, NJ – need 2 days per week onsite from day 1 of joining

Client : UBS

Skills: Java Springboot Cloud (any cloud is good)

 

·        participate in design and development of a complex strategic Risk Aggregation platform using Core java, Big-Data, Grid computing and caching technologies

·        interact with globally distributed Market Risk Officers, Quants and IT Dev/QA team

·        design and develop high quality software solutions for the Market Risk VaR (Value-at-Risk) platform

·        develop new applications to meet regulatory commitments (e.g: FRTB, GMETH)

·        develop applications using Scala and Java programming languages

·        implement scalable solutions to meet the ever increasing data volumes, using Big Data/Cloud technologies Apache Spark, Hadoop, Microsoft Azure Cloud computing etc.

·        migrate on-prem apps or build new Apps into Azure Cloud (or) using Big Data Technologies i.e. Azure Data Lakes, Databricks, Redis Cache, Azure Data Factory, Azure Batch

·        design and develop Micro-services using Spring Boot and Azure Kubernetes Service (PKS) cluster

 

Your expertise

·        BS or MS (preferred) in Computer Science or Information Technology

·        hands-on expertise with Java & Scala programming languages

·        experience with Big Data technologies; Spark and Hadoop platform is a must

·        experience in any one of the Cloud platform; Azure (Preferred), AWS or Google

·        experience working on any one-of following Hadoop Platforms i.e. Databricks (Preferred), Cloudera, Hortonworks, EMR

·        experience building data lakes and data pipelines in cloud using Azure and Databricks or similar tools

·        Spark Developer certification from any of (Databricks, MAPR, Cloudera or Hortonworks) is added advantage but not required

·        RDBMS or Hive fundamentals, Practice with Unix command line tools, knowledge of Data Structure & Algorithms

·        understanding of the Agile SDLC process

 

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