We are looking for a hands-on Developer with strong experience in building data-intensive applications using Apache Spark, working within Kubernetes-based environments, and integrating with modern DevOps and database systems. The ideal candidate will be part of a cross-functional team that builds scalable and reliable platform solutions

YOUR FUTURE DUTIES AND RESPONSIBILITIES

• Develop and optimize Spark-based data processing pipelines for large-scale data ingestion, transformation, and analytics
• Build, deploy, and manage containerized applications using Kubernetes, preferably within Rancher
• Write infrastructure-aware, modular, and maintainable code for platform components
• Integrate with PostgreSQL databases and optimize SQL queries for performance
• Collaborate with DevOps and platform teams to build robust CI/CD pipelines
• Participate in code reviews, technical design discussions, and Agile ceremonies

REQUIRED QUALIFICATIONS TO BE SUCCESSFUL IN THIS ROLE

• 3+ years of development experience in Apache Spark (Scala or Python)
• Hands-on experience in containerization and orchestration using Kubernetes
• Familiarity with Rancher for managing Kubernetes clusters
• Proficiency in PostgreSQL with strong SQL and database interaction skills
• Exposure to build/deploy tools (e.g., Jenkins, GitHub Actions, ArgoCD, etc.)
• Strong understanding of Unix/Linux environment and shell scripting
• Strong coding, debugging, and analytical thinking skills
• Comfortable working in Agile teams and fast-paced development cycles
• Good communication and a collaborative mindset

Nice to Have:

• Experience developing data flows using Apache NiFi
• Understanding of Helm Charts for Kubernetes package management
• Experience working with cloud-native environments (preferably GCP)

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