Scala Developer

Scala Developer

3-5 years of hands-on experience in Scala development. Strong proficiency in Scala programming concepts, functional programming, collections, concurrency, and object-oriented design. Experience with Apache Spark (Spark SQL, DataFrames, Dataset APIs). Strong SQL skills and experience with relational databases such as Oracle, PostgreSQL, SQL Server, or MySQL. Knowledge of data structures, algorithms, and software design principles. Experience developing and maintaining ETL/data processing applications. Familiarity with Unix/Linux environments and shell scripting. Experience with version control systems such as Git. Understanding of distributed computing and big data concepts Infosys is a global leader in next-generation digital services and consulting. Within the Data & Analytics unit, you will work on cutting-edge data engineering and analytics initiatives for global clients across industries. The role offers opportunities to work with cloud-native data platforms, modern analytics ecosystems, AI-driven solutions, and large-scale enterprise data modernization programs. Employees benefit from continuous learning programs, certifications, and career growth opportunities within Infosys' data and analytics practice Design, develop, test, and deploy scalable applications using Scala. Build and optimize data processing pipelines using Apache Spark and Scala. Develop ETL/ELT workflows to ingest, transform, and process large volumes of structured and unstructured data. Collaborate with business, analytics, and engineering teams to understand requirements and translate them into technical solutions. Write efficient, maintainable, and reusable code following software engineering best practices. Optimize application and data pipeline performance through tuning, monitoring, and troubleshooting. Integrate solutions with databases, data lakes, and cloud platforms. Ensure data quality, reliability, scalability, and security across data solutions. Participate in code reviews, design discussions, and knowledge-sharing sessions. Support production deployments and resolve technical issues in a timely manner.