Scala Developer

Greetings! We’re looking for an experienced Scala Developer who can design and build high-performance data processing systems within a large-scale distributed environment. You’ll work closely with Data Engineers, Architects, and Product teams to develop reliable data pipelines and contribute to our enterprise Big Data platform. Location: Whippany NJ (Hybrid – 3 days onsite) Type: Long term Contract Domain: Financial Services Key Responsibilities • Design, develop, and maintain scalable data pipelines using Scala and Spark • Implement efficient ETL/ELT solutions for large datasets across Hadoop, Databricks, or EMR environments • Optimize data processing performance and ensure code quality through testing and best practices • Collaborate with cross-functional teams on data architecture, schema design, and performance tuning • Develop reusable components and frameworks to support analytics and machine learning workloads • Work with Kafka, Hive, HDFS, and Delta Lake for data ingestion and storage • Contribute to CI/CD and automation using Git, Jenkins, or Azure DevOps Required Skills & Experience • 9+ years of hands-on experience in Scala development (functional and object-oriented) • 5+ years of experience with Apache Spark (core, SQL, structured streaming) • Solid understanding of distributed data processing and storage systems (HDFS, Hive, Delta Lake) • Experience with Kafka or other event streaming technologies • Strong SQL and performance optimization skills • Familiarity with cloud platforms such as Azure, AWS, or GCP (preferably with Databricks) • Experience working in Agile/Scrum teams Best Regards,