What does a Senior Software Engineer – Data and Analytics 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.

What you will need to have:

• 4+ years' experience with building java applications
• Bachelors in Computer Science or related field
• Provide technical leadership in developing data solutions and building frameworks
• Hands-on experience with Springboot framework & Java
• Java experience with OOPS concepts, multithreading
• 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 SQL Databases
• In depth knowledge of design principles and patterns
• Able to tune big data solutions to improve performance