Job Description
Mandatory Skills-AWS cloud native data platform - S3, Glue – ETL & Catalog, PySpark, Redshift, DMS, Kinesis, IaC, Informatica Power Center, Lambda and Step functionsJob Summary:- Overall experience of 8+ years in data warehousing and/or data mesh implementations with 4+ years in AWS cloud ecosystem
- 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.
Numbers & Facts
| Location | Torrance, CA |
| Industry | Other/Not Classified |
| Company Size | 100 to 499 employees |
Skills
AWS Lambdaunmatched
Amazon Simple Storage Service (S3)unmatched
Amazon Web Services (AWS)unmatched
Cloud Computingunmatched
Data Analysisunmatched
Data Modelingunmatched
Data Processingunmatched
Data Warehousingunmatched
DataArchitect Data Modeling Toolunmatched
Database Designunmatched
Database Extract Transform and Load (ETL)unmatched
Dimensional Modelingunmatched
Ecosystemsunmatched
Electronic Medical Recordsunmatched
Informaticaunmatched
Performance Tuning/Optimizationunmatched
Python Programming/Scripting Languageunmatched
SQL (Structured Query Language)unmatched
Snowflake Schemaunmatched
Star Schemaunmatched
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