Senior Data Engineer
Tasks
- Architect automated data quality monitoring and alerting
- Build automated reporting dashboards
- Build scalable ETL/ELT pipelines
- Build streaming data processing solutions
- Collaborate to define metrics and KPIs
- Create data warehousing solutions
- Design and implement data lake architecture
- Develop Python data processing frameworks and utilities
- Establish data ingestion frameworks
- Establish feature stores and data models
- Implement DataOps with automated testing and deployment pipelines
- Implement infrastructure-as-code
- Optimize data storage costs and query performance
- Orchestrate data pipelines
- Support predictive modeling and AB testing
Perks/Benefits
- 401k
- Annual experience stipend
- Dental insurance
- Health insurance
- Travel Related Perks
- Vision insurance
Skills/Tech-stack
AWS | Apache Airflow | Apache Hudi | Apache Iceberg | Apache Kafka | Azure | BigQuery | CCPA | CI/CD | CloudFormation | Dagster | Data Modeling | Data Privacy | Data Quality | Data quality monitoring | DataOps | Databricks | Delta Lake | Docker | ELT | ETL | Feature Store | GCP | GDPR | Git | Kinesis | Kubernetes | Observability | Prefect | PubSub | Python | Quality monitoring | Redshift | SQL | Snowflake | Streaming Analytics | Terraform
Education
N/A
Roles
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