People Consultancy Services (PCS)
ETL Developer - US Citizen Only
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an ETL Developer in San Jose, CA, with a 12-month contract and a pay rate of "unknown." Requires 10+ years of ETL Informatica experience, expertise in data modeling, and strong skills in data quality and pipeline development. US citizens only.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
March 13, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
1099 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
San Jose, CA
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Data Lake #Data Quality #Data Modeling #BI (Business Intelligence) #Data Warehouse #Storage #Data Storage #Scala #Schema Design #Informatica #Data Pipeline #Datasets #Monitoring
Role description
Position: ETL Developer - US Citizen Only
Location: San Jose, CA (Onsite)
Duration: 12 Months Contract
US Citizen are advised to apply for this role
Job Description
• Looking for 10+ Years experienced ETL Informatica Developer.
• Candidate should have experience to Design, develop, and maintain scalable and robust ETL/ELT processes and data pipelines using various tools and technologies.
• Ability to Build and optimize data warehouses, data lakes, and other data storage solutions to support analytical and operational needs.
• Should be expert to Implement data quality checks and monitoring to ensure the accuracy, completeness, and consistency of data.
• Ability to Work with large datasets, performing data modeling, schema design, and performance tuning.
Should be able to create data models that are easy for BI tools to consume and build dashboard.
Position: ETL Developer - US Citizen Only
Location: San Jose, CA (Onsite)
Duration: 12 Months Contract
US Citizen are advised to apply for this role
Job Description
• Looking for 10+ Years experienced ETL Informatica Developer.
• Candidate should have experience to Design, develop, and maintain scalable and robust ETL/ELT processes and data pipelines using various tools and technologies.
• Ability to Build and optimize data warehouses, data lakes, and other data storage solutions to support analytical and operational needs.
• Should be expert to Implement data quality checks and monitoring to ensure the accuracy, completeness, and consistency of data.
• Ability to Work with large datasets, performing data modeling, schema design, and performance tuning.
Should be able to create data models that are easy for BI tools to consume and build dashboard.
