Senior Data Engineer
Tasks
- Break down epics into modular stories
- Build and maintain data models
- Conduct root cause analysis for production alerts
- Coordinate data requirements with product and analysts
- Design data pipeline architectures
- Develop microservices for ETL analytics
- Drive modular component based architecture
- Implement ETL to data warehouses
- Index data in search platforms
- Integrate AI assisted coding tools into SDLC
- Investigate data quality failures
- Lead ETL pipeline design
- Maintain APIs for data platforms
- Mentor team on engineering standards
- Perform code reviews
Perks/Benefits
- 401k match
- Beverages
- Dental insurance
- Health insurance
- Hybrid work availability
- Paid Holidays
- Paid parental leave
- Paid sick days
- Paid vacation
- Snacks in office
- Vision insurance
- Wellness program
- Work from home flexibility
Skills/Tech-stack
Apache Airflow | Apache Spark | Argo | Cloud Dataproc | Context engineering | Data Modeling | Data Warehousing | Docker | ETL | Elasticsearch | Google BigQuery | Google Cloud | Google Cloud Dataproc | Google Pubsub | GraphQL | Hibernate | Java | JavaScript | Kubernetes | LLM Tooling | Microservices | NoSQL | Python | REST | RabbitMQ | SQL | Snowflake Schema | Spring Framework | Star Schema
Education
N/A
Roles
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