

UNICON International
AWS/IDMC Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS/IDMC Data Engineer in Torrance, CA, with a contract length of over 6 months and a pay rate of $132-137k. Key skills required include Informatica IDMC, AWS, ETL pipelines, and data modeling.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
622
-
🗓️ - Date
October 4, 2025
🕒 - Duration
More than 6 months
-
🏝️ - Location
On-site
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Torrance, CA
-
🧠 - Skills detailed
#Automation #Informatica Cloud #Cloud #Redshift #Data Layers #Informatica #Kubernetes #Data Engineering #Scripting #Agile #Data Mapping #Data Governance #PySpark #Data Architecture #DevOps #Amazon Redshift #Spark (Apache Spark) #AWS (Amazon Web Services) #Docker #Business Analysis #AWS Glue #Data Quality #IICS (Informatica Intelligent Cloud Services) #Data Integration #Data Processing #"ETL (Extract #Transform #Load)" #Data Modeling
Role description
We are currently accepting resumes for an AWS/IDMC Data Engineer in Torrance, CA.
This position is onsite
Travel: no
OT: no
Salary range: $132-137k
Benefits offered: Medical, Vision, Dental, 401 K
3rd Party Suppliers
The selected candidate will perform the following duties:
Not accepting 3rd party suppliers for this role
Daily Task Performed
Duties and Responsibilities: Informatica Cloud
" 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.
Duties and Responsibilities: AWS
" . 35 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
What will this person be working on
Duties and Responsibilities: Informatica Cloud
" 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.
" Duties and Responsibilities : AWS
" 35 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
" 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.
Position Success Criteria (Desired) - 'WANTS'
" 56 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.
UNICON International, Inc. is an Equal Opportunity Employer.
If you are interested in working for an organization where honesty, integrity, and quality are among the core principles, click apply today!
We are currently accepting resumes for an AWS/IDMC Data Engineer in Torrance, CA.
This position is onsite
Travel: no
OT: no
Salary range: $132-137k
Benefits offered: Medical, Vision, Dental, 401 K
3rd Party Suppliers
The selected candidate will perform the following duties:
Not accepting 3rd party suppliers for this role
Daily Task Performed
Duties and Responsibilities: Informatica Cloud
" 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.
Duties and Responsibilities: AWS
" . 35 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
What will this person be working on
Duties and Responsibilities: Informatica Cloud
" 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.
" Duties and Responsibilities : AWS
" 35 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
" 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.
Position Success Criteria (Desired) - 'WANTS'
" 56 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.
UNICON International, Inc. is an Equal Opportunity Employer.
If you are interested in working for an organization where honesty, integrity, and quality are among the core principles, click apply today!