Scala Developer

3across; Mumbai; On-site; INR 2,800,000 - 5,200,000; Full time

Job summary

3across in Mumbai is seeking a skilled Scala Developer with PySpark and Java knowledge to design and optimize large-scale data processing solutions. The role requires 6+ years of hands-on experience and a strong command of Spark DataFrame transformations and Spark SQL.

You will work from office in Mumbai on full-time permanent basis. You will write clean, efficient Scala code, apply functional programming concepts, and collaborate with cross-functional teams to deliver scalable data pipelines.

Qualifications

• 6+ years of hands-on experience in Scala development and Spark-based data processing.
• Strong knowledge of Spark DataFrame transformations and Spark SQL.
• Proficiency in PySpark and Java; ability to integrate with existing data pipelines.

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 for a Spark program.
• Understand Spark DAG, lazy evaluation and execution plans.
• Work with Spark deployment modes, including client and cluster mode.
• Troubleshoot and optimize Spark applications.
• Independently translate problem statements into technical solutions.
• Collaborate with technical teams and stakeholders to deliver effective solutions.

Skills

Scala development

Functional programming

Apache Spark

Spark DataFrame

Spark SQL

PySpark

Core Java

Problem solving

Independence

Job description

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