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

* Primary skills:Technology->Big Data - Data Processing->Spark,Technology->Functional Programming->Scala