ApplySarthi Match jobs to your CV

Big Data Hadoop

fa-etvl-saasfaprod1

Make my CV for this job, freeView job and applyYour CV, rewritten for this role using only your real experience. Sign in with Google and upload your CV. Nothing to install.

Skills named in this job

Read from the description itself, not inferred.

This role on the market

2 open hadoop roles across 2 companies are on ApplySarthi right now, most of them in Pune (1).

What hadoop roles keep asking for: Spark (100%), Agile (50%), B2B (50%), BigQuery (50%), ETL (50%), GCP (50%), Hadoop (50%), SQL (50%) — counted across their open postings here.

Scala jobs · Spark jobs

fa-etvl-saasfaprod1 has 277 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

Preparing for this interview

Interviews for hadoop roles keep coming back to Spark, Agile, B2B, BigQuery. Practise those questions before you sit with fa-etvl-saasfaprod1.

Questions you are likely to be asked

  1. Why do you want to join fa-etvl-saasfaprod1?
  2. What is your experience with Scala? Tell me one thing you learned the hard way.
  3. Tell me about a problem you solved at work that you are proud of.
  4. Tell me about a time you disagreed with your manager. What happened?
  5. Where do you want to be in three years?

Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.

Practise the Big Data Hadoop at fa-etvl-saasfaprod1 interview free →

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

Match this job to your CV

ApplySarthi scores your CV against this role, shows the skills you are missing, and writes a tailored version for the application.

Check my match →

Similar open roles

Need answers during your interview? Try Live Sarthi.

Live Sarthi, an Interview Sarthi app, shows answer suggestions during the call.

Try Live Sarthi free →

A Windows app, from the same team as ApplySarthi.

Listed on oraclehcm · posted 2026-09-23. ApplySarthi collects openings and links to application pages; the role is advertised by fa-etvl-saasfaprod1, not by us.