Big Data Engineer

Data Architecture

What does a Data Engineer do

As an experienced member of our Data Engineering Platform Group you will be responsible for building and taking ownership over the successful design and development of data engineering projects within Fiserv's Enterprise Data Analytics division. You will be required to apply your depth of knowledge and expertise to all aspects of the data engineering lifecycle, as well as partner continuously with your many stakeholders on a daily basis to stay focused on common goals. You'll work in a collaborative, trusting, thought-provoking environment-one that encourages diversity of thought and creative solutions that are in the best interests of our customers globally. You will Lead large-scale data engineering, integration and warehousing projects, build custom integrations between cloud-based systems using APIs and write complex and efficient queries to transform raw data sources into easily accessible models by coding across several languages such as Java, Python, and SQL. Additional responsibilities include, but are not limited to Architect, build, and launch new data models that provide intuitive analytics to the team and Build data expertise and own data quality for the pipelines you create.

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