Data Integration Engineer

Title : Data Integration Engineer

Location : Worcester, MA

Duration : 6 months (Temp to Perm)

Description :

Responsibilities & Essential Functions

This role will be driving larger more complicated projects independently as well as mentoring less experienced engineers.

Data Engineer will collaborate with business partners and cross-functional teams on data / reporting requests.

The assignments will become broader in nature, usually requiring originality and ingenuity.

This role will be accountable for successful outcomes related to designing, developing, implementing, optimizing, and maintaining data integrations, pipelines and solutions.

Skills :

Mandatory : Java, JDBC Template, JPA, Springboot, Ehache, SQL, REST.

Proficiency in the following languages : Java, SQL, Python 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.

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 is 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 webservices, 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 professional experience in data engineering, data architecture, data integration

5 plus years 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