Big Data Hadoop
Pune · Mid Level
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What we know about this role
LOW
Our tracked job listings for fa-etvl-saasfaprod1-cx1 show limited recent activity.
First 72 hours
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Skills required
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Job 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
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