Data Architecture - Big Data Engineer

Job Description

Basic Qualifications for consideration:

•   7+ Overall industry experience

•   5+ years' experience with building large scale big data applications development

•   Bachelors in Computer Science or related field

•   Provide technical leadership in developing data solutions and building frameworks

•   Experience building Data Lake, data applications and micro-services using Azure, AWS and Hands-on experience in cloud Data stack (preference is Azure)

•   Hands-on experience with Springboot framework, MVC architecture, Hibernate, API creation, Restful services, SOAP using Java

•   Java experience with OOPS concepts, multithreading

•   Experience deploying code on containers

•   Hands on experience with leveraging CI/CD to rapidly build & test application code

•   Conduct code reviews and strive for improvement in software engineering quality

•   Review data architecture and develop detailed implementation design

•   Hands-on experience in production rollout and infrastructure configuration

•   Demonstrable experience of successfully delivering big data projects using Kafka, Spark

•   Experience 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 Banking, Financial domain