iSpace, Inc.
Data Engineer AWS
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Data Engineer in Torrance, CA, for a 12+ month contract at $77/hr. Requires 3-5 years of data engineering experience, expertise in Informatica IDMC, and strong knowledge of ETL processes. AWS Certification is a plus.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
616
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🗓️ - Date
October 3, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Torrance, CA
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🧠 - Skills detailed
#Data Layers #Data Modeling #Data Mapping #"ETL (Extract #Transform #Load)" #Data Governance #DevOps #Data Engineering #Business Analysis #Scripting #Data Quality #Informatica #Kubernetes #Redshift #AWS Glue #Data Integration #Docker #Automation #IICS (Informatica Intelligent Cloud Services) #Agile #Data Processing #Amazon Redshift #Cloud #AWS (Amazon Web Services) #PySpark #Data Architecture #Spark (Apache Spark)
Role description
Title: AWS Data Engineer
Location: Torrance, CA
Duration: 12+ Months contract role
Pay rate $77 Per hr on W2
Responsibilities:
• Responsible for designing, developing, and implementing data integration processes using Informatica IDMC.
• Responsible for collaborating with business Analyst, Data Architect to understand business requirements for data integration and transformation requirements.
• Responsible for design, develop and test application interfaces using various application connectors like Sales Force and AWS.
• Responsible for Data validation, process tuning and automation of interface / data transfer processes.
• Monitor, troubleshoot, and optimize data integration workflows to ensure high performance and reliability.
• Evaluate the existing landscape and underlying data layers to provide architectural recommendations to meet business requirements.
Essential Knowledge and Skills:
• Hands-on experience with Informatica Intelligent Cloud Services (IDMC), including Data Integration and Application Integration.
• Strong understanding of data integration concepts, ETL/ELT processes, and data mapping.
• Strong background in Data Integration design, develop and implement complex solutions using Informatica is required.
• Strong practical knowledge of traditional and agile SDLC methodologies required.
• Strong problem-solving skills and the ability to troubleshoot data-related issues.
• Excellent communication and collaboration skills to work effectively in a team environment.
Requirements:
• 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
Position Success Criteria (Desired) - 'WANTS'
• 5–6 years of experience in data engineering.
• AWS Certification will be a plus
Preferred Skills:
• Understanding of containerization (Docker, Kubernetes) and cloud-native services (AWS preferred).
• Knowledge of scripting languages (e.g. pyspark, shell).
• Knowledge of DevOps practices and CI/CD pipelines for data integration workflows.
• Familiarity with data governance and data quality.
If you're interested in above role please send me your updated resume to chakravarthi.savalam@ispace.com
Title: AWS Data Engineer
Location: Torrance, CA
Duration: 12+ Months contract role
Pay rate $77 Per hr on W2
Responsibilities:
• Responsible for designing, developing, and implementing data integration processes using Informatica IDMC.
• Responsible for collaborating with business Analyst, Data Architect to understand business requirements for data integration and transformation requirements.
• Responsible for design, develop and test application interfaces using various application connectors like Sales Force and AWS.
• Responsible for Data validation, process tuning and automation of interface / data transfer processes.
• Monitor, troubleshoot, and optimize data integration workflows to ensure high performance and reliability.
• Evaluate the existing landscape and underlying data layers to provide architectural recommendations to meet business requirements.
Essential Knowledge and Skills:
• Hands-on experience with Informatica Intelligent Cloud Services (IDMC), including Data Integration and Application Integration.
• Strong understanding of data integration concepts, ETL/ELT processes, and data mapping.
• Strong background in Data Integration design, develop and implement complex solutions using Informatica is required.
• Strong practical knowledge of traditional and agile SDLC methodologies required.
• Strong problem-solving skills and the ability to troubleshoot data-related issues.
• Excellent communication and collaboration skills to work effectively in a team environment.
Requirements:
• 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
Position Success Criteria (Desired) - 'WANTS'
• 5–6 years of experience in data engineering.
• AWS Certification will be a plus
Preferred Skills:
• Understanding of containerization (Docker, Kubernetes) and cloud-native services (AWS preferred).
• Knowledge of scripting languages (e.g. pyspark, shell).
• Knowledge of DevOps practices and CI/CD pipelines for data integration workflows.
• Familiarity with data governance and data quality.
If you're interested in above role please send me your updated resume to chakravarthi.savalam@ispace.com
