Lead Data Engineer
Universal City, CA, United States
USD 183K-185K Senior-level Full Time
Tasks
- Build data engineering pipelines
- Coordinate analytics deliverables
- Document data engineering processes
- Estimate data engineering initiatives
- Identify pipeline bottlenecks
- Implement ETLs for business intelligence
- Implement containerized solutions
- Implement real-time processing
- Optimize cloud data lake and data warehouse
- Perform data QA and auditing
- Set up alerts and data monitoring
- Support data governance
Perks/Benefits
- 401k
- Dental insurance
- Discounts
- Hybrid work schedule
- Medical insurance
- Paid leave
- Tuition reimbursement
- Vision insurance
Skills/Tech-stack
API Integration | AWS Secrets | AWS Secrets Manager | Amazon EC2 | Amazon EMR | Amazon Kinesis | Amazon S3 | Apache Airflow | Apache Hadoop | Apache Spark | CI/CD | Clean rooms | Data Clean Rooms | Data Governance | Data Lakehouse | Data Modeling | Data Processing | Data Quality | Data pipeline | Data pipeline orchestration | Databricks | Distributed data | Distributed data processing | ETL | Git | NoSQL | Pipeline Orchestration | PySpark | Python | Real Time | Real-time Data | SQL | Secrets Manager | Snowflake
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
Regions
Countries
States
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