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 hotfixes.

Skills / Competencies :

- 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 plus.

Primary Skills (Non-Negotiable) :

- Apache Spark (application development & optimization).

- Big Data ecosystem knowledge.

- Strong problem-solving & debugging skills.

- Agile delivery mindset.

Managers Note :

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