Big Data Developer

Role Description

This is a contract role for a Big Data Developer/Engineer at Edgesys in Franklin Lakes, NJ, with flexibility for remote work. The role involves handling day-to-day tasks related to big data development and engineering in a hybrid work environment.

Bigdata Engineer with Java experience

Location: Franklin Lakes, NJ must be able to report on-site once a week.

Contract Type: 6-12 Months

Role & Responsibilities

We are seeking a highly skilled Big Data Engineer - Spark/Java for Data Eng with 10+ years overall experience and 8+ years’ experience in experience with building large-scale big data applications development.
Provide technical leadership in developing data solutions and building frameworks 
Expertise in solutions for processing large volumes of data, using tools ETL ( Talend preferred) and Big Data platforms 
Experience building Data Lake, EDW and data applications using Azure, AWS and Hands-on experience in cloud Data stack (preference is Azure) 
Understanding of cluster and parallel architecture as well as high-scale or distributed RDBMS, SQL experience 
Hands on experience on major programming/scripting languages like Java, Linux and/or Python/Scala(Nice to have) 
Java experience with OOPS concepts, multithreading 
Nice to have experience deploying code on containers 
Conduct code reviews and strive for improvement in software engineering quality 
Hands-on experience in production rollout and infrastructure configuration 
Demonstrable experience of successfully delivering big data projects using Kafka, Spark 
Exposure working on NoSQL Databases such as Cassandra, HBase, DynamoDB, and Elastic Search 
Experience working with PCI Data and working with data scientists is a plus 
In depth knowledge of design principles and patterns 
Able to tune big data solutions to improve performance
 

Preferred Skills, Experience and Education

• Exposure to Talend Big Data edition and solutions a strong plus

• Exposure to Relational Modeling, Dimensional Modeling, and Modeling of Unstructured Data

• Bachelors in Computer Science or related field

• Experience in Design and architecture review

• Experience in Healthcare or Pharma domain