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AWS Azure Hadoop Spark SDLC Java REST J2EE Kafka Communication Skills Mongo DB Engine
 
Requirement id 103763
Job title Engineer
Job location in Phoenix, AZ
Skills required AWS, Azure, Hadoop, Spark SDLC Java REST J2EE Kafka Communic
Open Date 19-Feb-2020
Close Date
Job type Contract to Hire
Duration 6 Months
Compensation DOE
Status requirement ---
Job interview type Face to Face interview
   Email Recruiter: coolsoft
Job Description Engineer: AWS, Azure, Hadoop, Spark SDLC Java REST J2EE Kafka Communic

Job Description :

Description:



Job Responsibilities

Middleware and back end data engineering technologies with a minimum of 7+ years of experience in designing and developing enterprise solutions with cloud.

· Design, build and optimize data applications and data pipelines to extract, transform and load data from various data sources to internal and cloud targets
. Participate in proactively identifying issues and resolving issues concerning data pipeline jobs
· Identify and implement process improvements: automate data processing, build frameworks, design and implement near real-time data ingestion capabilities
. Evaluate tools and emerging technologies and carry out POCs to identify tools that would optimize data processing and data pipelines
· Design and implement data sharing tools and solutions including batch sharing and API capabilities
· Design and implement data analytic tools and solutions that provides actionable insights to stakeholders
· Work with product, application and business teams to assist with adhoc data requests, data exploration requests and building business knowledge models
· Work with data science teams to assist with assist with data and data processing requests
· Contribute by the way of your past experiences and industry knowledge to the Data Engineering function that is driving significant changes to the tool stack to drive critical initiatives for the organization

Qualifications

· Advanced working knowledge of current and emerging data technologies
· Vast knowledge of open source tools & technologies
· A minimum of 5 years of software development experience, covering the stages of the SDLC
· Experience working with agile software development methodologies

· A minimum of 3 year of experience working with data technologies and relational (oracle, mysql, sql server, postgresql) as well as no-sql databases.
· 3 years of experience developing solutions on Java/J2EE platform
· Experience with spring framework using spring boot specifically is preferable
. 2+ years of experience with Python or JavaScript (server side – node.js or other js frameworks) or R scripting
. 3 years of experience developing solutions with Amazon AWS data tools and technologies
· Experience working on cloud migration projects is preferable
· 2+ Experience working with Hadoop and spark eco system
. Experience in developing and consuming REST based web services and working in and integrating with microserivces based environment is preferable
. Experience working with event driven architectures and distributed messaging broker such as Kafka
· Experience working with one or more data streaming technologies is preferable
· Experience working with MongoDb or ElasticSearch and/or Redis technologies is preferable
· Experience working with Informatica, HVR is preferable
 
Call 502-379-4456 Ext 100 for more details. Please provide Requirement id: 103763 while calling.
 
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(Engineer: AWS, Azure, Hadoop, Spark SDLC Java REST J2EE Kafka Communic in Phoenix, AZ)
     
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