Senior Data Platform Engineer
Tasks
- Build and optimize Databricks pipelines
- Build data products on canonical model
- Develop modular ingestion patterns
- Drive CI CD Infrastructure as Code testing observability cost optimization
- Enforce data quality standards
- Implement data as a product practices
- Implement data governance capabilities
- Implement data protection and privacy solutions
- Integrate source data into canonical model
- Maintain data consumption and serving layers
- Maintain ingestion frameworks
- Mentor engineers and partner with stakeholders
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Anonymization | Apache Spark | Azure | CCPA | CI/CD | Change Data Capture | Cost Optimization | Data Auditing | Data Capture | Data Catalog | Data Classification | Data Contracts | Data Governance | Data Lineage | Data Modeling | Data Quality | Data Vault | Data masking | Databricks | Debezium | Delta Lake | Delta Live Tables | Delta Live) | Dimensional Modeling | GCP | GDPR | GraphQL | Infrastructure Security | Infrastructure as Code | Kafka | Lakeflow | Observability | Pseudonymization | Python | REST API | SQL | Scala | Structured Streaming | Terraform | Testing | Tokenization | Unity Catalog | “as-code”
Education
N/A
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