Staff Data Engineer
Tasks
- Build cloud-native data architectures
- Define data platform technical vision
- Design batch and streaming data platforms
- Design data models schemas and data contracts
- Establish data engineering standards and best practices
- Evaluate new data technologies
- Implement data observability monitoring alerting and data quality
- Improve scalability reliability security observability
- Lead incident response and root cause analysis
- Lead platform migrations streaming modernization and lakehouse evolution
- Mentor engineers and conduct code and design reviews
- Optimize cloud storage compute and streaming costs
Perks/Benefits
- Competitive compensation package
- Exclusive discounts on Toters orders
- First class medical insurance
- Hybrid work environment
Skills/Tech-stack
Amazon Kinesis | Amazon S3 | Apache Flink | Apache Hudi | Apache Iceberg | Apache Kafka | Apache Pulsar | Change Data Capture | ClickHouse | Cloud Cost Optimization | Cost Optimization | DBT | Data Capture | Data Modeling | Debezium | Delta Lake | Dimensional Modeling | Docker | IAM | Infrastructure as Code | Java | Kubernetes | Networking | Object storage | Parquet | Python | SQL | Scala | Terraform | Trino | “as-code”
Education
N/A
Roles
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