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Scala Developer

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Onsite

Scala Developer

3across

Scala Developer

Skills

SQL QueriesJavaScalaPySpark

1 month ago

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Important information


Contract type:

Permanent

Salary:

₹2,000,000 – ₹2,500,000 / year

Location:

Mumbai, Maharashtra, India

Work mode:

Onsite

Published on:

11 September 2026

What they need


Hiring: Scala Developer

We are looking for a skilled Scala + PySpark Developer with Java knowledge

Location: Mumbai.

Experience: 6+ Years
Location: Mumbai
Work Mode: Work from Office
Employment Type: Full-Time / Permanent

Key Responsibilities

  • Develop and optimize large-scale data processing applications using Scala, PySpark and Java.
  • Write clean, reusable and efficient Scala code.
  • Apply functional programming concepts while solving coding problems.
  • Develop Spark applications using Spark DataFrames and Spark SQL.
  • Write Scala-based Spark DataFrame transformations.
  • Understand and explain Spark execution from an architectural perspective.
  • Identify Spark transformations and actions.
  • Estimate the number of Spark jobs and stages created for a given Spark program.
  • Understand Spark DAG, lazy evaluation and execution plans.
  • Work with Spark deployment modes, including client mode and cluster mode.
  • Troubleshoot and optimize Spark applications.
  • Independently understand problem statements and convert them into technical solutions.
  • Collaborate with technical teams and stakeholders to deliver effective solutions.

Mandatory Technical Skills

  • Strong hands-on experience in Scala development.
  • Strong understanding of Scala functional programming.
  • Hands-on experience with Apache Spark.
  • Experience writing Spark DataFrame transformations.
  • Good knowledge of Spark Core, Spark SQL and RDDs.
  • Working experience with PySpark.
  • Good knowledge of Core Java.
  • Strong coding, analytical and problem-solving skills.
  • Ability to understand requirements independently.

Strong Scala Knowledge Required Candidates should be able to explain and apply:

  • Case Classes
  • Higher-Order Functions
  • Function Currying
  • Partial Functions and Total Functions
  • Call-by-Value vs. Call-by-Name
  • Option, Some and None
  • Pattern Matching
  • Scala Collections
  • Immutable Data Structures
  • Functional Programming Concepts

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