Lead Data Engineer
Los Angeles, CA, USA
A USD 155K-192K (estimate) Senior-level Full Time
Tasks
- Build and orchestrate data pipelines
- Create reusable data engineering patterns
- Design data models and data marts
- Ensure data quality monitoring and alerting
- Gather client requirements
- Maintain project documentation
- Monitor pipelines and handle CDC
- Optimize queries and improve performance
- Provide technical leadership through code reviews and mentorship
- Tune pipeline performance and resolve production issues
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Alerting | Apache Airflow | Apache Hadoop | Apache Hive | Azure | CDC | Cron | Data Modeling | Data Quality | Data Warehousing | Data pipeline | Data pipeline orchestration | Data quality monitoring | Databricks | Dimensional Modeling | ELT | ETL | GCP | HBase | Incremental loading | Lakehouse | Medallion Architecture | Performance Engineering | Pipeline Orchestration | Power BI | PySpark | Python | Quality monitoring | Query Optimization | SQL | Tableau | Workflow Orchestration
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
Regions
Countries
States
Cities
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