
Cloud Data Platform Engineer
1 week ago
Hybrid
"At BMC trust is not just a word - it's a way of life"
Key Responsibilities
- Design, build, and maintain serverless data processing pipelines using AWS Lambda, Firehose, S3, and Athena.
- Optimize data storage and querying performance using Parquet and Iceberg formats.
- Manage and scale event-driven workflows using EventBridge and Lambda.
- Work with DynamoDB for fast, scalable key-value storage.
- Develop and maintain Java Spring Boot microservices deployed on EC2 pods.
- Ensure observability, monitoring, and fault-tolerance across the system.
- Collaborate with DevOps, Data Engineering, and Product teams to design scalable, cost-effective cloud solutions.
- Maintain security best practices in a cloud-native environment.
- 3+ years of experience in backend/cloud engineering with AWS.
- 5+ years of Java backend development experience.
- 3+ years of Python development
- Strong hands-on experience with AWS services: Lambda, S3, K8S.
- Deep understanding of data lake architectures and formats such as Parquet and Iceberg.
- Proficiency in Spring Boot and working experience with microservices.
- Experience with high-scale, event-driven systems and serverless patterns.
- Solid understanding of distributed systems, performance tuning, and cost-optimization in cloud environments with Kafka for data streaming
- Familiarity with CI/CD and infrastructure-as-code tools (e.g., Terraform, CloudFormation)
- Experience with observability tools (e.g., CloudWatch, OpenTelemetry)
- Experience working in a global enterprise software company
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