Scala Developer

Job Overview:

• We are in search of a dedicated and talented Scala Developer to architect, develop, and enhance large-scale data processing solutions.
• The ideal candidate should possess extensive knowledge in Scala programming, distributed data processing frameworks, and contemporary data engineering methodologies.
• You will collaborate closely with data engineers, architects, analysts, and business stakeholders to create scalable data pipelines and analytical solutions that facilitate data-driven decision-making throughout organizations.
• This position provides opportunities to engage with cloud-native data platforms, big data technologies, and advanced analytics ecosystems.

Key Duties:

• Architect, develop, test, and launch scalable applications utilizing Scala.
• Construct and enhance data processing pipelines using Apache Spark and Scala.
• Create ETL and ELT workflows to ingest, transform, and manage substantial amounts of structured and unstructured data.
• Work in partnership with business analytics and engineering teams to comprehend requirements and convert them into technical solutions.
• Produce efficient, maintainable, and reusable code adhering to software engineering best practices.
• Enhance application and data pipeline performance through tuning, monitoring, and troubleshooting.
• Integrate solutions with databases, data lakes, and cloud services.
• Guarantee data quality, reliability, scalability, and security across all data solutions.
• Engage in code reviews, design discussions, and knowledge-sharing activities.
• Assist with production deployments and promptly resolve technical issues.

Technical Qualifications:

• 9 to 11 years of hands-on experience in Scala development.
• Strong command of Scala programming principles, functional programming, collections, concurrency, and object-oriented design.
• Experience with Apache Spark, Spark SQL, DataFrames, and Dataset APIs.
• Proficient SQL skills and experience with relational databases like Oracle, PostgreSQL, SQL Server, or MySQL.
• Understanding of data structures, algorithms, and software design principles.
• Experience in developing and maintaining ETL data processing applications.
• Familiarity with Unix/Linux environments and shell scripting.
• Experience with version control systems, particularly Git.
• Comprehension of distributed computing and big data concepts.

Additional Duties:

• Infosys stands as a global frontrunner in next-generation digital services and consulting.
• Within the Data Analytics division, you will engage in state-of-the-art data engineering and analytics projects for global clients across various sectors.
• This role allows you to work with cloud-native data platforms, modern analytics ecosystems, AI-driven solutions, and large-scale enterprise data modernization initiatives.
• Employees are afforded continuous learning programs, certification opportunities, and pathways for career advancement within Infosys' data and analytics practice.

Desired Skills:

Technology->Functional Programming->Scala