Yochana
Senior Data Analyst |Torrance CA
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Analyst in Torrance, CA, on a contract basis. Requires 3–5 years of data engineering experience, proficiency in Python, PySpark, SQL, and expertise in ETL pipelines, data modeling, and AWS tools.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 3, 2025
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Torrance, CA
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🧠 - Skills detailed
#Data Processing #Redshift #"ETL (Extract #Transform #Load)" #AWS Glue #Amazon Redshift #Python #Cloud #Lambda (AWS Lambda) #AWS (Amazon Web Services) #Data Modeling #Data Engineering #Schema Design #PySpark #Airflow #Spark (Apache Spark) #Data Analysis #SQL (Structured Query Language) #Snowflake
Role description
Title: Senior Data Analyst
Location: Torrance CA
Duration: Contract
• 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)..
Title: Senior Data Analyst
Location: Torrance CA
Duration: Contract
• 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)..
