Application Development
Develop high-performance, scalable applications using Scala
Write clean, maintainable, and efficient code following best practices
Implement functional programming concepts and design patterns
Data Processing & Big Data
Build and optimize data pipelines using Apache Spark (Scala)
Process large-scale datasets in distributed environments
Work with streaming technologies like Kafka / Spark Streaming
System Design
Design and implement microservices-based architectures
Ensure system scalability, reliability, and performance
Participate in architecture discussions and technical decision-making
Collaboration
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
Performance & Optimization
Analyze and improve application performance
Debug and resolve production issues
Optimize database queries and processing logic
Required Skills & Qualifications
Technical Skills
3-5 years of hands-on experience in Scala development
Strong understanding of functional programming concepts
Experience with Apache Spark (core + SQL + streaming)
Solid knowledge of object-oriented programming (OOP)
Proficiency in Java/Scala ecosystem tools (SBT, Maven)
Data & Backend Technologies
Experience with REST APIs and microservices architecture
Knowledge of relational (PostgreSQL, MySQL) and NoSQL databases
Familiarity with message queues (Kafka, RabbitMQ)
Tools & Platforms
Experience with Git version control
Exposure to Docker / Kubernetes (preferred)
Familiarity with cloud platforms (AWS / Azure / GCP)

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

* Primary skills:Technology->Functional Programming->Scala