a engineering solutions. The role involves close collaboration with end users and global engineering teams, leveraging cloud-native and DevOps practices to deliver high-performance, real-time and batch processing systems.
Design, develop, and support complex full-stack and data engineering solutions
Build and maintain distributed systems using Python
Develop and manage streaming applications using Kafka
Implement large-scale data processing using Spark / PySpark
Work with end users to gather requirements and translate them into technical designs
Design and implement CI/CD pipelines and DevOps best practices
Collaborate with global engineering teams for solution delivery
Work with RDBMS and NoSQL databases
Ensure performance, scalability, and reliability of applications
Continuously research and adopt new technologies
Opportunity to work on large-scale data and streaming platforms
Exposure to cutting-edge technologies like Kafka, Spark, and Kubernetes
High-impact role with direct stakeholder interaction
Collaborative environment with global engineering teams
Strong career growth and continuous learning opportunities
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