Senior Data Engineer
Tasks
- Build batch and streaming data pipelines
- Build resilient streaming solutions
- Conduct code reviews
- Create reusable data engineering frameworks and tooling
- Design and optimize data models
- Design scalable, reliable data platforms
- Develop Data Lakehouse architectures
- Develop data ingestion frameworks
- Implement data schemas and data contracts
- Improve platform observability
- Mentor junior engineers
- Optimize storage compute and data movement costs
- Participate in architecture discussions
- Perform root cause analysis
- Troubleshoot production data issues
Perks/Benefits
Skills/Tech-stack
AWS | Amazon Kinesis | Amazon S3 | Apache Flink | Apache Hudi | Apache Iceberg | Apache Kafka | Apache Pulsar | Change Data Capture | ClickHouse | Cloud platform | DBT | Data Capture | Debezium | Delta Lake | Dimensional Modeling | Docker | Event time | Exactly once | Exactly-once processing | Google Cloud | Google Cloud Platform | IAM | Infrastructure as Code | Java | Kubernetes | Microsoft Azure | Parquet | Processing time | Python | SQL | Scala | Stateful processing | Streaming Analytics | Terraform | Trino | Windowing | “as-code”
Education
Roles
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