
Big Data Engineer
4 weeks ago
Job Description
Data Architecture - Big Data Engineer
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
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