Sr. Data Engineer, Data Platform
Tasks
- Architect enterprise data platforms
- Build and optimize data models
- Define data requirements with stakeholders
- Design data pipelines
- Design dimensional schemas
- Establish data quality frameworks
- Implement data governance and metadata management
- Implement monitoring and alerting
- Lead technical design reviews
- Mentor junior data engineers
- Optimize pipeline performance and reliability
- Participate in hiring
- Troubleshoot pipeline failures
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Airflow | Amazon Kinesis | Amazon Redshift | Azure | Azure Databricks | BigQuery | Cloud platform | Data Governance | Data Lineage | Data Modeling | Data Quality | Data Streaming | Data Warehousing | DataOps | Delta Lake | Dimensional Modeling | Event Driven | Event-driven architecture | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kafka | Lakehouse | Metadata Management | Python | Real Time | Real-Time Data Streaming | Real-time Data | SQL | Scala | Snowflake | Spark | “as-code”
Education
N/A
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