Sr Scala/Spark Developer
Not Disclosed•Full-TimeOn-site
location_onOn-site
About the Role
This position focuses on developing, testing, and deploying robust data processing applications using Apache Spark and Scala. The role is designed to optimize and tune Spark applications for high performance on large-scale datasets while building data pipelines and storage solutions within the Cloudera Hadoop ecosystem. You will collaborate closely with data scientists, business analysts, and other developers to understand complex data requirements and deliver scalable solutions.
The team prioritizes data integrity, accuracy, and security across all processing tasks. You will be responsible for troubleshooting performance issues in Spark and Cloudera technologies, as well as implementing version control and CI/CD pipelines to ensure reliable application delivery.
Compensation and Benefits
The compensation range for this role is estimated between USD 46,000 and USD 161,000, based on the candidate's actual experience and qualifications. Full-time employees are eligible for a comprehensive benefits package including medical, vision, and dental coverage, a 401k retirement plan, variable pay incentives, paid time off, and paid holidays.
Application Details
This is a full-time position and is not available for independent contractors. Please note that applications received more than 120 days after the posting date will not be considered.
Work location
Work model: On-site
On-site
Key Responsibilities
- check_circleDevelop, test, and deploy data processing applications using Apache Spark and Scala
- check_circleOptimize and tune Spark applications for better performance on large-scale data sets
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