Staff Data Engineer, Platform Engineering
Tasks
- Build and operate distributed data processing systems
- Contribute to production code with testing and operability standards
- Define and evolve data lifecycle patterns
- Design and implement multi tenant multi cloud data systems
- Establish data quality gates and validation frameworks
- Integrate systems with CI CD deployment orchestration and observability
- Lead ambiguous high impact initiatives
- Lead architecture and development of data platform capabilities
- Make architectural decisions across performance cost reliability and maintainability
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Airflow | Apache Flink | Apache Iceberg | Apache Kafka | Apache Spark | CI/CD | Cloud Storage | Cloud compute | DBT | Data Lakehouse | Data Modeling | Data Processing | Data Quality | Data Validation | Data pipeline | Data pipeline orchestration | Databricks | Delta Lake | Distributed data | Distributed data processing | Infrastructure automation | Multi-tenant | Multi-tenant architecture | Observability | Pipeline Orchestration | Snowflake | System design | Tenant architecture | Terraform | Testing
Education
N/A
Roles
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