Big Data Hadoop

Zensar · Pune

Source and collection record

Last observed by our collector: 9 October 2026 at 12:32 am IST. This is not a manual review or a confirmation from the employer.

Employer requisition: 149622

Job type and experience labels are automated discovery categories. The employer determines eligibility. Original experience wording was not retained separately; check the current employer page.

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Collected role 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 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 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 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

Collected experience requirement

5-12 years