Database & Storage
• MongoDB: sharding strategies, TTL indexes, and performance tuning.
• AWS RDS (PostgreSQL/MySQL) for transactional workloads.
• Storage optimization for time-series and telemetry data.
Technical Skills
• Programming: Java (preferred), Python.
• Streaming & Messaging: Kafka, Spark Streaming, Kinesis, Flink.
• Cloud: AWS (IoT Core, ECS/EKS, Lambda, S3, RDS, Kinesis).
• Architecture: Microservices, event-driven systems, domain-driven design.
Experience & Qualifications
• 3 to 5.5 years of backend or platform engineering experience.
• Hands-on experience with large-scale data ingestion or IoT platforms.
• Strong system design, debugging, and performance optimization skills.
• Experience building production-grade distributed systems.
3 to 5.5yrs
BE/ ME or Btech/Mtech
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