Spark Scala Developer
Infosys
We are seeking a skilled Spark Scala Developer to design and build scalable big data processing applications. The ideal candidate will have strong experience in Apache Spark, Scala, and distributed data processing, and will work on building high-performance data pipelines for analytics and data engineering use cases.
Key Responsibilities
Big Data Development
Develop and maintain data pipelines using Apache Spark (Scala) Process large-scale datasets in distributed environments Implement batch and real-time data processing solutions
Spark & Scala Development
Write efficient and scalable code using Scala Work extensively with Spark Core, Spark SQL, and Spark Streaming Optimize Spark jobs for performance and resource utilization
Data Engineering & Integration
Ingest data from various sources:
Databases (RDBMS, NoSQL) APIs File systems (HDFS, S3)
Build ETL/ELT pipelines and data transformation workflows
Performance Optimization
Tune Spark applications (partitioning, caching, memory tuning) Optimize queries using Spark SQL Improve job execution time and reduce resource consumption
Collaboration & Design
Work with data engineers, data scientists, and business analysts Translate business requirements into scalable data solutions Participate in code reviews and architecture discussions
Monitoring & Troubleshooting
Monitor data pipelines and Spark jobs Debug job failures and performance bottlenecks Ensure reliability and data quality in pipelines
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