Educational Requirements

Bachelor of Engineering, BTech, BSc, BCA, MTech, MCA, MSc

Service Line

Data Analytics Unit

Responsibilities
Develop high-performance, scalable applications using Scala.
Write clean, maintainable, and productive code following best practices.
Implement functional programming concepts and design patterns.
Build and optimize data pipelines using Apache Spark (Scala).
Process large-scale datasets in distributed settings.
Work with streaming technologies like Kafka / Spark Streaming.
Design and implement microservices-based architectures.
Ensure system scalability, reliability, and performance.
Participate in architecture discussions and technical decision-making.
Work closely with cross-functional teams including product, data engineering, and DevOps.




Understand business requirements and translate them into technical solutions.
Participate in code reviews and agile ceremonies.
Analyze and improve application performance.
Debug and resolve production issues.
Optimize database queries and processing logic.

Additional Responsibilities
Experience in big data ecosystems (Hadoop, Hive, HDFS).
Knowledge of Akka / Play Framework.
Experience with CI/CD pipelines.
Understanding of data engineering workflows.

Technical and Skilled Requirements
Primary skills: Functional Programming, Scala.

Preferred Skills
Functional Programming, Scala.

📌 Scala Developer Bengaluru
🏢 Infosys
📍 Bengaluru