Sharp Decisions
AWS/IDMC Data Engineer ( 3914 )
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This role is for an AWS/IDMC Data Engineer in Torrance, CA, with a contract of 5+ months at a W2 pay rate. Requires 3-5 years of data engineering experience, strong skills in Informatica IDMC, ETL pipelines, and AWS technologies.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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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 Processing #Redshift #Spark (Apache Spark) #"ETL (Extract #Transform #Load)" #AWS Glue #Amazon Redshift #AWS (Amazon Web Services) #Data Modeling #Data Engineering #Business Analysis #Data Architecture #Data Integration #Informatica #Automation
Role description
A client of Sharp Decisions if looking for an AWS/ Informatica Data Engineer. This role is ONSITE in Torrance, CA with an initial contract of 5+ months, W2 only.
Daily Tasks Performed:
• 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.
Qualifications:
• . 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
A client of Sharp Decisions if looking for an AWS/ Informatica Data Engineer. This role is ONSITE in Torrance, CA with an initial contract of 5+ months, W2 only.
Daily Tasks Performed:
• 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.
Qualifications:
• . 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
