Senior Data Engineer
Tasks
- Build and maintain data models and storage systems
- Collaborate with backend engineering on ingestion and consumption
- Design and build scalable data pipelines for batch and real time processing
- Ensure data quality, consistency, and reliability
- Identify architecture bottlenecks and drive optimization
- Implement infrastructure-as-code for data pipelines
- Integrate and manage cloud data services
- Optimize high volume low latency data infrastructure
- Perform code reviews and write technical documentation
Perks/Benefits
Skills/Tech-stack
Amazon Web Services | Apache Airflow | Apache Flink | Apache Iceberg | Apache Kafka | Apache Spark | Azure | Batch Processing | Cloud platform | CosmosDB | Data Modeling | DataOps | Dataset versioning | Delta Lake | Distributed Systems | Docker | Feature Store | Google Cloud | Google Cloud Platform | Kubernetes | ML pipelines | MongoDB | NoSQL | Python | SQL | Streaming processing | Temporal | Terraform | Web Services
Education
N/A
Roles
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