Job Description
- 3–5 years of experience in data engineering.
- Strong experience with distributed data processing (Spark, AWS Glue, EMR, or equivalent).
- Hands-on expertise with data modeling, ETL pipelines, and performance optimization.
- Strong hands-on expertise in building and optimizing ETL pipelines into Amazon Redshift
- Proficiency in Python, PySpark and SQL; familiarity with Iceberg tables preferred.
- Solid background in Data Analysis and Data Warehousing concepts (star/snowflake schema design, dimensional modeling, and reporting enablement).
- Orchestration experience with Airflow, Step Functions, and Lambda
- Experience with Redshift performance tuning, schema design, and workload management.
- Cloud experience (AWS ecosystem preferred).
Numbers & Facts
| Location | Torrance, CA |
| Industry | Other/Not Classified |
| Company Size | 100 to 499 employees |
Skills
AWS Lambdaunmatched
Amazon Web Services (AWS)unmatched
Cloud Computingunmatched
Data Analysisunmatched
Data Modelingunmatched
Data Processingunmatched
Data Warehousingunmatched
Database Designunmatched
Database Extract Transform and Load (ETL)unmatched
Dimensional Modelingunmatched
Ecosystemsunmatched
Electronic Medical Recordsunmatched
Performance Tuning/Optimizationunmatched
Python Programming/Scripting Languageunmatched
SQL (Structured Query Language)unmatched
Snowflake Schemaunmatched
Star Schemaunmatched
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