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 3â€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)
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