Staff Data Engineer
Tasks
- Build and maintain semantic and metrics layer foundations
- Build data platform tooling and frameworks for self service analytics
- Contribute to code reviews and technical architecture planning
- Define and track key metrics and consistent data definitions
- Design and evolve customer data domain model and customer 360
- Design build and maintain scalable production data pipelines
- Develop and evolve data models and schemas
- Ensure data quality observability lineage and governance
- Implement cost efficient performant cloud data infrastructure
- Monitor and optimize data workflows reliability scale maintainability
Perks/Benefits
Skills/Tech-stack
Amazon Kinesis | Amazon Redshift | Amazon Web Services | Apache Airflow | BigQuery | CI/CD | Cloud Computing | Cloud PubSub | Cloud platform | Compliance | Containerization | DBT | Data Governance | Data Lineage | Data Modeling | Data Observability | Data Privacy | Data Quality | Data Security | Data Transformation | Data Warehousing | Data pipeline | Delta Lake | Docker | ELT | ETL | Google Cloud | Google Cloud Platform | Google Cloud PubSub | Infrastructure as Code | Java | Kafka | Metadata Management | Microsoft Azure | Python | SQL | Scala | Snowflake | Terraform | Web Services | “as-code”
Education
N/A
Roles
Regions
Countries
States
Cities
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