Senior Software Engineer - Azure Data Engineering Team
Tasks
- Build and evolve messaging infrastructure
- Collaborate across teams to deliver scalable solutions
- Define and apply metrics and quality bars
- Design and implement distributed systems
- Drive testing and deployment strategy
- Ensure long term operability through live site ownership
- Improve performance, scalability, and resilience
- Lead code reviews and design discussions
- Mentor engineers and raise technical bar
- Own end to end delivery of system components
Perks/Benefits
- N/A
Skills/Tech-stack
Amazon Kinesis | Amazon SQS | Apache Flink | Apache Kafka | Apache Spark | Azure Cosmos | Azure Cosmos DB | Azure Data | Azure Data Factory | Azure Event | Azure Event Grid | Azure SQL | Azure SQL Database | Azure Service | Azure Service Bus | Azure Synapse | Azure Synapse Analytics | Code Reviews | Consistency models | Cosmos DB | Data Factory | Data platforms | Design Documents | Distributed Systems | Event Grid | Failure recovery | Google Pub/Sub | On-Call | On-call rotations | Operational excellence | Partitioning | Power BI | Pub/Sub | RabbitMQ | Real Time | Real-time Data | Real-time data platforms | Reliability Engineering | Replication | SQL Database | Scalability | Service Bus | Stream processing | Synapse Analytics | System Architecture | Telemetry and diagnostics
Education
Regions
Countries
States
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