Hi ,
Hope you are doing well!!!
We are urgently hiring for Big Data Engineer with Java at AZ.
If you are interested in position please share your updated resume on
Job Role: Big Data Engineer with Java
Location: Phoenix, AZ (Initial Remote)
Mandatory Skill:
1. Java + Spark
2. Elastic Search
3. NoSQL – Cassandra or Couch base
4. Kafka
5. Docker, Kubernetes
Minimum Qualifications:
· 5+ years of work experience in software design and implementation using Java.
· Experience in data processing using Spark.
· Experience in designing, implementing, and operating any of the NoSQL databases such as Cassandra, Elastic search, Couchbase, Redis.
· Clear understanding of various design patterns, threading and memory models supported by the language/VM.
· Have excellent written and verbal communications skills. Create and deliver effective presentations to Senior Leadership.
Preferred Qualifications:
· Experience in distributed data processing and analyzing using Cassandra, Elastic search, Spark.
· Experience in distributed messaging system such as Kafka
· Experience in building Micro services and Service Mesh is a plus
· Experience in cloud platforms like Docker, Kubernetes, OpenShift are a plus.
· Experience in Continuous integration, Continuous delivery and DevOps Systems.
· Experience in architecting large scale distributed data systems considering scalability, reliability, security, performance, and flexibility.
· Able to mentor and provide technical guidance to other engineers.
Responsibilities:
· As a Data Engineer, you will be a responsible to build core features and functions of card transaction systems on distributed platform deployed in hybrid cloud. Senior Engineer in American Express is an individual contributor role reporting to Director of Engineering.
· You will be responsible to design and build distributed data processing and analytical systems.
· You will be responsible for end to end design and build of key features of a distributed transaction engine.
· Build high level design as well as detailed design of subsystems/features with emphasis on performant code.
· Build and code features, working with developers in day to day activities and helping in code and other SDLC tasks.
· Build POCs to validate new concepts and new technologies.
· You will constantly purse and learn industry leading/innovative technologies and solutions. Be acutely aware of enabling technologies and open-source products to build low latency distributed systems.
· Lead a culture of innovation and experimentation, engage in fun and outcome-oriented culture, and always be ready to try new concepts without fear of failure.