Spark/Scala Engineer

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Description

Responsible for developing and operating big data platform using open source or other solutions to aid critical applications, such as analytics, reporting, and AI/ML apps. This includes working to optimize performance and cost, automate operations, and identifying and resolving production errors and issues to ensure the best data platform experience.

Minimum Qualifications:

• 5 years of professional software engineering experience with large-scale big data platforms, including strong programming skills in Java, Scala, Python, or Go.
• Proven expertise in designing, building, and operating large-scale distributed data processing systems with a strong focus on Apache Spark.
• Experience with contribution to Open-Source projects is a plus.
• Hands-on experience with table formats and data lake technologies such as Apache Iceberg, ensuring scalability, reliability, and optimized query performance.
• Skilled at coding for distributed systems and developing resilient data pipelines.
• Strong background in incident management, including troubleshooting, root cause analysis, and performance optimization in complex production environments.
• Proficient with Unix/Linux systems and command-line tools for debugging and operational support.