Proficiency (i.e. senior expertise)in Java, SQL and Spring is required.
Proficiency (i.e. senior expertise)in Java, SQL and Spring is required.
Understanding of Java, Scala.
Practical use of programming languages: Java, grovy, scala, Linux shell, Windows batch script, JSR223
; Proficient with functional and regression testing; Proficient in JavaScript/TypeScript or Python, Java
and disaster recovery - Proficiency in tracing stacks on Kubernetes cluster - Basic understanding of Java
engineer of large scale complex software systems with at 5+ years of experience with technologies such as Java
described fields Good understanding of hybrid cloud architecture Experience in the programming language Java
Additional advantages: experience with native languages on mobile devices (Swift, Objective-C, Kotlin, Java
knowledge and skills of SQL and at least general knowledge one of following programming languages: Java
SQL Server, Experience with at least one object oriented or functional/scripting/querying languages – Java
batch processing using modern tools like AWS Glue, Apache Spark and Apache Flink have strong Python or Java
Requirements: Proficiency in Java server-side programming Experience with database systems (e.g
Good knowledge on SSL certificate & key management using tools like Java Keytool, openssl, PGP etc.
Strong programming and scripting skills (Java, Python, TypeScript).
Experience with Object Oriented Programming in Python or Java Experience with REST API interfaces Experience
Practical use of programming languages: Java, grovy, scala, Linux shell, Windows batch script, JSR223
you’ll also have Proven experience with at least one programming language (JavaScript, Python, C#, Java
and simulators - Experience with analysis of system performance - Preferred experience in applying Java
implementation, development, or maintenance of Business Intelligence or Big Data systems Knowledge of Python (or Java
/Rails/Node.js/React/Postgres hosted on AWS and increasingly using Kubernetes and languages such as Java
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