Senior Engineering Manager, Data Engineering
Tasks
- Capture product and BI needs
- Define code review standards
- Define data quality and timeliness standards
- Drive data quality & observability
- Improve data pipeline robustness
- Investigate data anomalies
- Lead data engineering team
- Maintain design documents and structured reviews
- Manage incident response and execution norms
- Modernize data architecture
- Own data engineering roadmap
- Review Python pipeline code
- Write SQL data transforms and quality checks
Perks/Benefits
- Dental insurance
- Flexible vacation policy
- Health insurance
- Parental leave
- Remote work
- Vision insurance
Skills/Tech-stack
AWS Athena | AWS Glue | Airbyte | Amazon Redshift | Amazon S3 | Anomaly Detection | Apache Airflow | Apache Kafka | Argo Workflows | Cloud Data | Cloud Data Warehouse | Cloud PubSub | DBT | Dagster | Data Contracts | Data Modeling | Data Observability | Data Quality | Data SLAs | Data Warehouse | Databricks | Delta Lake | Fivetran | Google BigQuery | Google Cloud | Google Cloud PubSub | Kubernetes | Medallion Architecture | Python | SQL | Snowflake | Unity Catalog
Education
N/A
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