Software Development Staff Engineer

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them save time and money.   We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.   We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com  Employer:                                Experian Information Solutions, Inc.  Job Title:                                 Software Development Staff Engineer   Job Location:           701 Experian Parkway, Allen, TX 75013   Develop the Kafka ecosystem by creating a framework for using technologies such as Kafka Connect, KStreams/KSQL, Attunity, Schema Registry, and other streaming-oriented technology; Help build the DevOps strategy for hosting and managing our SDP microservice and connector infrastructure in AWS cloud; Background in design/ implementing big data technologies around Apache Hadoop, Kafka streaming, NoSQL, Java/ J2EE, and distributed computing platforms in large enterprises where scale and complexity have been tackled; Understand enterprise software design for implementing data services and middleware. Employer will accept a Bachelor’s degree in Computer Science or related field and 5 years of experience in the job offered or in a Software Development - related occupation. Position requires experience in the following:  

1. Experience in design and implementation of data pipelines using Big Data and Cloud technologies
2. Experience in automating jobs with airflow orchestration tool
3. Experience in building streaming framework using streaming-oriented technology like Kafka and Spark-Streaming
4. Experience with running containers (Docker) using one of the container orchestration services (Kubernetes, Docker Swarm, AWS ECS, AWS EKS)
5. Experience in implementing one or more Observability platforms like Dynatrace, Splunk, Prometheus, Grafana, CloudWatch, etc. to measure telemetry data like logs, metrics, and traces
6. Experience with Java/J2EE/Spring/Restful API development
7. Experience working with high scalability projects involving cloud-based infrastructure design and implementation (AWS)
8. Experience developing quality software products and shipping production ready software using git source control
9. Experience working on agile methodologies (Scrum) using sprints/stories for deliveries