Senior Lead Data Engineer, Content Engineering
Tasks
- Architect data foundations
- Build and operate large scale feature pipelines
- Build real time feature systems with Kafka
- Define data quality rules and schema evolution processes
- Develop embedding and content pipelines
- Ensure point in time correctness
- Monitor and govern ML ready data infrastructure
Perks/Benefits
- 401k
- Bonus eligible
- Dental insurance
- Disability benefits
- Life insurance
- Medical insurance
- PTO
- Paid time off
- Tuition assistance
- Vision insurance
Skills/Tech-stack
AWS | Airflow | Azure | Cloud platform | Data Governance | Data Modeling | Databricks | Delta Lake | Event Handling | Exactly once | Exactly-once semantics | Feature Engineering | Google Cloud | Google Cloud Platform | Kafka | Out of Order Event Handling | Out-of-order | Parquet | Point In Time | Point in Time Correctness | PySpark | Python | Redshift | SQL | Scala | Schema evolution | Snowflake | Spark | Temporal Joins | Terraform | Training-serving skew
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer | Senior Data Engineer
Regions
Countries
States
Cities
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