Description

Role Description

This is a contract hybrid role for a Big Data Engineer with Java & Spring at Edgesys. The role involves day-to-day tasks such as Data Engineering, ETL processes, Big Data management, Data Warehousing, and Software Development. While the role is based in Franklin Lakes, NJ, there is flexibility for remote work.


 

Qualifications

Bigdata Engineer with Java experience

Location: Franklin Lakes NJ Must be able to report on-site once in 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


 

Education

Any Graduate