Perfict
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Dublin, CA, offering a hybrid work model. The contract length and pay rate are unspecified. Key skills include StreamSets, Cloud applications, Data Lake architecture, and experience with Snowflake and ETL processes.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
December 11, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Dublin, CA
-
🧠 - Skills detailed
#Data Ingestion #Java #Cloud #Alation #StreamSets #Data Engineering #Linux #"ETL (Extract #Transform #Load)" #Data Lake #Snowflake #Windows OS #Scala #Clustering #Deployment
Role description
Job Title : Data Engineer
Location : Dublin, CA
Hybrid Onsite 2-3 days
Roles & Responsibilities
• Provide L3 escalation support for existing production systems and assist with related enhancement activities. Ensure proper testing and adherence to business change management practices and procedures
• Installation, patching, configuration, and maintenance of StreamSets on-prem runtime instances.
• StreamSets SME, and knowledge on the data landing needs into Snowflake for data analytics and reporting needs.
• Strong technical expertise in Cloud applications, Data ingestion, and Data Lake architecture.
• In-depth knowledge of StreamSets cloud and on-prem architecture, including environment configuration and deployment models.
• Hands-on experience and strong technical knowledge with platforms like Linux/Windows OS, authentication systems, networking, clustering, load balancers, Java, SSL, certificates, etc.
Job Title : Data Engineer
Location : Dublin, CA
Hybrid Onsite 2-3 days
Roles & Responsibilities
• Provide L3 escalation support for existing production systems and assist with related enhancement activities. Ensure proper testing and adherence to business change management practices and procedures
• Installation, patching, configuration, and maintenance of StreamSets on-prem runtime instances.
• StreamSets SME, and knowledge on the data landing needs into Snowflake for data analytics and reporting needs.
• Strong technical expertise in Cloud applications, Data ingestion, and Data Lake architecture.
• In-depth knowledge of StreamSets cloud and on-prem architecture, including environment configuration and deployment models.
• Hands-on experience and strong technical knowledge with platforms like Linux/Windows OS, authentication systems, networking, clustering, load balancers, Java, SSL, certificates, etc.
