Senior Scala / Spark Developer

Key Responsibilities :

• Design, develop, and maintain data processing applications using Scala and Apache Spark.
• Collaborate with cross-functional teams to gather requirements and deliver scalable, efficient solutions.
• Implement test-driven development practices to improve reliability and maintainability.
• Manage deployment of artifacts from lower to higher environments, ensuring smooth transitions.
• Troubleshoot and optimize Spark performance issues for large-scale data processing.
• Actively participate in Agile ceremonies (sprint planning, development, reviews) and deliver high-quality, timely outcomes.
• Provide production support for critical data batches, including timely issue resolution and / Competencies :
• Strong hands-on experience with Scala programming language (mandatory).
• Proven expertise in Apache Spark (development and performance optimization).
• Solid understanding of data structures, algorithms, and design patterns for efficient data processing.
• Good knowledge of SQL and database concepts.
• Strong analytical and problem-solving skills.
• Familiarity with DevOps practices (CI / CD, deployment automation, monitoring) is a Skills (Non-Negotiable) :
• Scala (Pure Scala coding experience is mandatory).
• Apache Spark (application development & optimization).
• Big Data ecosystem knowledge.
• Strong problem-solving & debugging skills.
• Agile delivery Note :

Looking specifically for a Pure Scala Developer.

Scala coding is mandatory; candidates without solid Scala hands-on experience will not be considered.

(ref : hirist.tech)