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