Spark Scala Developer – Infosys Limited

Spark Scala Developer – Infosys Limited

Job Overview

Infosys Limited is seeking experienced professionals for the role of Spark Scala Developer. This position involves designing, developing, and optimizing large-scale data processing solutions using Apache Spark and Scala. The ideal candidate will have expertise in Big Data technologies, distributed computing, ETL development, data engineering, and cloud-based analytics platforms. This role offers an opportunity to work on enterprise-scale data transformation and analytics projects for global clients.

Position Details

Job Title: Spark Scala Developer

Company: Infosys Limited

Location: Hyderabad, Telangana, India

Job Type: Full-Time

Industry: Information Technology & IT Consulting

Department: Data Engineering & Analytics

Reference Code: INFSYS-EXTERNAL-246517

Company Overview

Infosys Limited is a global leader in next-generation digital services and consulting. Operating across more than 50 countries, Infosys helps enterprises accelerate digital transformation through cloud computing, artificial intelligence, big data analytics, automation, and enterprise technology solutions. The company is recognized for innovation, technology excellence, and continuous learning opportunities for its employees.

Qualifications & Experience

• Bachelor’s Degree in Computer Science, Information Technology, Engineering, Mathematics, Statistics, or a related field.
• Relevant experience in Big Data development and data engineering projects.
• Strong hands-on expertise in Scala programming and Apache Spark.
• Experience working with distributed data processing frameworks and large datasets.
• Knowledge of Hadoop ecosystem technologies such as Hive, HDFS, Yarn, and MapReduce.
• Experience in ETL development, data integration, and data transformation processes.
• Familiarity with SQL and NoSQL databases.
• Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
• Understanding of data warehousing and data lake architectures.
• Strong analytical, troubleshooting, and problem-solving skills.

Key Responsibilities

• Design, develop, and maintain scalable data processing applications using Apache Spark and Scala.
• Build and optimize ETL pipelines for data ingestion, transformation, and processing.
• Process large volumes of structured and unstructured data efficiently.
• Collaborate with data architects, business analysts, and engineering teams to deliver data solutions.
• Develop high-performance Spark jobs and optimize existing workflows.
• Ensure data quality, integrity, and consistency across data platforms.
• Support data migration, modernization, and analytics initiatives.
• Troubleshoot and resolve performance and data processing issues.
• Implement best practices for Big Data engineering and software development.
• Create technical documentation, design specifications, and operational procedures.
• Participate in code reviews and continuous improvement initiatives.
• Support production deployments and operational monitoring activities.

Required Skills

• Apache Spark
• Scala Programming
• Big Data Technologies
• Hadoop Ecosystem
• Hive
• HDFS
• Yarn
• ETL Development
• Data Engineering
• Data Integration
• SQL
• NoSQL Databases
• Data Warehousing
• Data Lakes
• Cloud Computing (AWS, Azure, GCP)
• Performance Optimization
• Distributed Computing
• Linux
• Git Version Control
• Problem Solving & Troubleshooting

Salary & Benefits

• Competitive salary package based on qualifications and experience.
• Performance-based incentives and rewards.
• Comprehensive health and wellness benefits.
• Learning and certification opportunities in Big Data and Cloud technologies.
• Exposure to enterprise-scale data engineering projects.
• Career growth opportunities within a global technology organization.
• Access to advanced analytics and cloud-native technologies.
• Collaborative and innovation-driven work environment.

Actual compensation and benefits will be determined according to Infosys policies, project requirements, and candidate qualifications.

How to Apply

Interested candidates can apply through the official Infosys Careers portal:

Applicants should submit an updated resume highlighting their experience in Apache Spark, Scala, Big Data technologies, ETL development, cloud platforms, and distributed data processing systems.

Important Notes

• Strong hands-on experience with Apache Spark and Scala is essential.
• Experience with Hadoop ecosystem technologies and Big Data platforms is highly preferred.
• Knowledge of cloud-based data engineering solutions will be advantageous.
• Candidates should possess excellent analytical, troubleshooting, and communication skills.
• Only shortlisted candidates will be contacted for further recruitment stages.
• Infosys Limited is an equal opportunity employer.
• Recruitment requirements may change based on project and business needs.
• Early applications are encouraged.