Zensar Technologies—Big Data Hadoop

Job description

Description: - Scala, big data Spark Requirement - Functional Programming: Proficiency with immutability, higher-order functions (map, flatMap, filter), and pattern matching is essential for writing efficient Spark code. - Object-Oriented Programming (OOP): Familiarity with classes, traits, and abstract classes to organize complex data pipelines. - Type Safety: Understanding Scala’s static typing helps catch errors at compile-time, which is critical for long-running big data jobs. - Build Tools: Experience using sbt (Scala Build Tool) or Maven to manage project dependencies and package JAR files Requirements: - Scala, big data Spark Requirement - Functional Programming: Proficiency with immutability, higher-order functions (map, flatMap, filter), and pattern matching is essential for writing efficient Spark code. - Object-Oriented Programming (OOP): Familiarity with classes, traits, and abstract classes to organize complex data pipelines. - Type Safety: Understanding Scala’s static typing helps catch errors at compile-time, which is critical for long-running big data jobs. - Build Tools: Experience using sbt (Scala Build Tool) or Maven to manage project dependencies and package JAR files Responsibilities: - Scala, big data Spark Requirement - Functional Programming: Proficiency with immutability, higher-order functions (map, flatMap, filter), and pattern matching is essential for writing efficient Spark code. - Object-Oriented Programming (OOP): Familiarity with classes, traits, and abstract classes to organize complex data pipelines. - Type Safety: Understanding Scala’s static typing helps catch errors at compile-time, which is critical for long-running big data jobs. - Build Tools: Experience using sbt (Scala Build Tool) or Maven to manage project dependencies and package JAR files