Scala Developer

Job Description: Scala Developer

Software Engineering

Full-Time

Job Title

Scala Developer

Experience

3–8 Years

Employment Type

Full-Time

Department

Software Development / Engineering

Location

Hyderabad / Bangalore / Pune / Chennai

Work Mode

Hybrid / On-site / Remote

1. Job Summary

We are looking for an experienced Scala Developer to design, develop, and maintain scalable, reliable, and high-performance software applications using Scala.

The ideal candidate should have strong experience in Scala programming, functional programming, distributed systems, Apache Spark, microservices, and big data technologies.

The candidate will collaborate with architects, data engineers, backend developers, and DevOps teams to build enterprise-grade applications and data processing solutions.

2. Key Responsibilities

• Design, develop, and maintain applications using Scala.
• Build scalable backend services and distributed applications.
• Develop microservices and RESTful APIs using Scala frameworks.
• Implement functional programming principles and object-oriented programming concepts.
• Develop data processing pipelines using Apache Spark.
• Work with big data technologies and distributed computing frameworks.
• Design and optimize database queries and data models.
• Integrate third-party APIs and external services.
• Develop asynchronous and concurrent applications.
• Implement application performance optimization techniques.
• Write unit tests, integration tests, and automated test cases.
• Perform debugging and resolve production issues.
• Participate in code reviews and technical architecture discussions.
• Collaborate with cross-functional engineering teams.
• Implement CI/CD pipelines and deployment automation.
• Ensure application scalability, security, and reliability.

3. Required Technical Skills

Technical Area

Required Skills

Programming Language

Scala

Programming Concepts

Functional Programming, OOP

Frameworks

Akka, Play Framework, ZIO, Cats Effect

Big Data

Apache Spark

Data Processing

Spark SQL, DataFrames, Datasets

API Development

REST APIs, GraphQL

Databases

PostgreSQL, MySQL, MongoDB

Messaging

Apache Kafka, RabbitMQ

Cloud

AWS, Azure, GCP

Distributed Systems

Microservices, Event-Driven Architecture

Build Tools

SBT, Maven

Testing

ScalaTest, Specs2, MUnit

Version Control

Git, GitHub, GitLab

Containers

Docker, Kubernetes

CI/CD

Jenkins, GitHub Actions

4. Required Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• 3–8 years of professional software development experience.
• Strong hands-on experience with Scala programming.
• Good understanding of functional programming concepts.
• Experience with object-oriented programming and design patterns.
• Hands-on experience developing backend applications and APIs.
• Knowledge of distributed systems and microservices architecture.
• Experience with Apache Spark and big data processing.
• Strong SQL and database development skills.
• Experience with unit testing and integration testing.
• Familiarity with Agile/Scrum methodologies.
• Strong analytical and problem-solving skills.

5. Preferred Qualifications

• Experience working with large-scale data processing systems.
• Knowledge of Apache Hadoop and the Spark ecosystem.
• Experience with Kafka-based event-driven applications.
• Familiarity with Akka Actors and Akka Streams.
• Experience with cloud platforms such as AWS EMR and Databricks.
• Knowledge of data lakes and data warehouse architecture.
• Experience with Kubernetes and containerized applications.
• Understanding of performance tuning and memory optimization.
• Experience with real-time data streaming applications.

6. Key Competencies

• Strong analytical and problem-solving abilities.
• Excellent programming and debugging skills.
• Understanding of functional programming principles.
• Ability to design scalable distributed applications.
• Effective communication and teamwork.
• Ownership of technical deliverables.
• Ability to work in an Agile development environment.

7. Key Performance Indicators (KPIs)

• Application performance and scalability.
• Data processing efficiency.
• Code quality and maintainability.
• API response time and reliability.
• Reduction in production defects.
• Successful delivery of development milestones.
• Data pipeline accuracy and reliability.
• Test coverage and engineering productivity.

8. Interview Process

• Initial Technical Screening
• Scala Programming and Coding Assessment
• Functional Programming Concepts Round
• Apache Spark and Big Data Round
• System Design and Microservices Round
• Database and API Development Round
• Technical Manager / HR Discussion

9. Candidate Search Keywords

Useful for Naukri, LinkedIn, and JobDiva recruitment searches

• Scala Developer
• Scala Software Engineer
• Scala Backend Developer
• Senior Scala Developer
• Scala Programmer
• Scala Application Developer
• Scala Spark Developer
• Apache Spark Developer
• Scala Big Data Engineer
• Scala Microservices Developer
• Scala Data Engineer
• Scala Cloud Engineer
• Scala Distributed Systems Engineer
• Scala API Developer

10. Technical Screening Questions

No.

Interview Question

1

What are the key features of Scala?

2

Explain the difference between val, var, and def.

3

What is functional programming in Scala?

4

Explain the difference between Option, Some, and None.

5

What are case classes in Scala?

6

What is the difference between map, flatMap, and filter?

7

Explain the architecture of Apache Spark.

8

What is the difference between RDDs, DataFrames, and Datasets?

9

How do you handle exceptions in Scala?

10

How do you optimize Spark jobs for better performance?

11. Boolean Search String for Recruitment

("Scala Developer" OR "Scala Engineer" OR "Scala Software Engineer" OR "Scala Programmer") AND (Scala OR "Functional Programming") AND (Spark OR "Apache Spark" OR Akka) AND (Microservices OR Backend OR "Big Data")

Recommended JobDiva Title

Scala Developer

Suggested Experience

3–8 years.

Must-have skills

Scala, Functional Programming, Apache Spark, SQL, Akka, REST APIs, Microservices, Git.

Recruitment tip

Scala developers generally come from two major backgrounds

backend application development and big data engineering. Confirm whether the position requires Scala with Spark or Scala for backend development before shortlisting candidates.