Data Integration Engineer

Skills, Experience, and Qualifications
Skills:
- Mandatory: Java, JDBC Template, JPA, Springboot, Ehcache, SQL, REST.
- Proficiency in the following languages: Java, SQL, Pytho,n and Scala (prioritized order)
- Data Modeling: Creation of conceptual, logical, and physical data models for data objects, object attributes, and their relationships
- Analytical Skills: Data Engineers work with large amounts of data that will include facts, figures, and number crunching. You will need to profile the data and analyze it to find conclusions.
- Communication Skills: Data engineers are often called to present their findings or translate the data into an understandable document. You will need to write and speak clearly, easily communicating complex ideas.
- Critical Thinking: Data engineers must look at the numbers, trends, and data and come to new conclusions based on the findings.
- Attention to Detail: Data is precise. Data engineers must make sure they are vigilant in their analysis to come to correct conclusions.
- Math Skills: Data engineers need advanced math skills to estimate numerical data. Insurance experience required, as well as insurance products.
- Debugging Skills: Data engineers need the ability to analyze issues with components in our data solutions and come up with remediation plans.

Experience:
- Experience in Java development with Java 8 & above, J2EE, Hibernate, Maven, GiT, Jenkins, JSON frameworks, XML, JMS, JDBC, Junit-based testing frameworks like Mockito
- Demonstrated proficiency in Spring Framework, including Data (JDBC, ORM, JMS), Security &Integration
- Proven experience in data engineering, implementation of best practices for data storage, integration, transformation, access, etc., within Azure and on-premise platforms
- Experience in building and optimizing real-time and near-real-time data integration solutions for scale, performance, reliability, and cost efficiency
- Experience with event streaming solutions like Apache Kafka and /or near real-time messaging
Solutions such as Azure Service Bus are preferred.
- Experience in optimizing data pipelines to account for scale, performance, reliability, and cost efficiency is preferred
- Demonstrated proficiency in relational, NoSQL, hierarchical, and entity relationship data modeling
- Experience in creating easy-to-consume documentation of data processes and solutions to aid in knowledge transfer and continuity.
- Experienced in agile development methodologies, developing high-quality code, and DevOps best practices
- Strong foundations with core Java concepts. Good understanding of Aspect Oriented Programming (AOP), Test Driven Development (TDD)
- Solid grasp of HTTP, RESTful web services, Linux operating systems
- Coaching and mentoring less senior team member as well as conducting reviews for their work

Qualifications:
- Bachelor's degree or higher in Data Science, Mathematics, Statistics, Computer Science, Information Systems, Business Information Technology, or equivalent
- 5 plus years of professional experience in data engineering, data architecture, and data integration
- 5 plus years of professional experience in Java development and Spring Framework
- PREFERRED: Holds active Azure DP-203 (Microsoft Certified: Azure Data Engineer Associate) or equivalent. Other Azure DP certifications or equivalents are also applicable