RandomTrees
Snowflake Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Snowflake Data Engineer on a contract basis, offering a pay rate of "unknown" for "unknown" duration. Key skills include ETL, Informatica IICS, Snowflake, data extraction, and data pipeline development. Industry experience in data engineering is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 11, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Documentation #Informatica #Storage #Data Engineering #"ETL (Extract #Transform #Load)" #Databases #Data Pipeline #Business Analysis #Snowflake #Data Extraction #IICS (Informatica Intelligent Cloud Services) #Data Architecture #Cloud
Role description
• Design, develop, and support ETL/ELT workflows using Informatica Intelligent Cloud Services.
• Build and maintain data pipelines that load data into Snowflake.
• Develop mappings, mapping tasks, taskflows, and reusable transformations.
• Perform data extraction from multiple source systems, including databases, APIs, files, and cloud applications.
• Implement data validation, reconciliation, and quality checks.
• Optimize Snowflake warehouse performance, storage, and query execution.
• Design dimensional and relational data models to support reporting and analytics.
• Collaborate with business analysts, data architects, and stakeholders to gather requirements.
• Monitor production jobs and resolve ETL failures and performance issues.
• Maintain documentation for data flows, mappings, and operational procedures.
• Design, develop, and support ETL/ELT workflows using Informatica Intelligent Cloud Services.
• Build and maintain data pipelines that load data into Snowflake.
• Develop mappings, mapping tasks, taskflows, and reusable transformations.
• Perform data extraction from multiple source systems, including databases, APIs, files, and cloud applications.
• Implement data validation, reconciliation, and quality checks.
• Optimize Snowflake warehouse performance, storage, and query execution.
• Design dimensional and relational data models to support reporting and analytics.
• Collaborate with business analysts, data architects, and stakeholders to gather requirements.
• Monitor production jobs and resolve ETL failures and performance issues.
• Maintain documentation for data flows, mappings, and operational procedures.
