Extend Information Systems Inc.
AWS Data Engineer (Local to GA)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Data Engineer based in Atlanta, GA, on a long-term contract. Key skills include strong AWS experience (S3, Glue, Redshift), proficiency in SQL and Python, and familiarity with CI/CD practices. On-site work required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 16, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Atlanta, GA
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🧠 - Skills detailed
#Security #SQL (Structured Query Language) #Data Science #Datasets #Schema Design #Python #DynamoDB #DevOps #Lambda (AWS Lambda) #"ETL (Extract #Transform #Load)" #SQS (Simple Queue Service) #Terraform #Compliance #Data Modeling #RDS (Amazon Relational Database Service) #SNS (Simple Notification Service) #Athena #Databases #AWS (Amazon Web Services) #S3 (Amazon Simple Storage Service) #Data Ingestion #Data Engineering #Cloud #IAM (Identity and Access Management) #Batch #Redshift #Data Lake #Data Quality
Role description
Job Title: AWS Data engineer
Location: Atlanta, GA (Local to GA)
Duration: Long Term Contract
Interview: F2F in final round is mandatory
Job Description:
Key Responsibilities:
• Design, develop, and maintain batch and streaming ETL/ELT pipelines using AWS services (Glue, Lambda, Step Functions, etc.).
• Implement data ingestion frameworks from diverse sources (APIs, databases, streaming platforms).
• Ensure data quality, governance, and security across all pipelines.
• Build and optimize data lakes and warehouses leveraging Amazon S3, Redshift, Athena, and Lake Formation.
• Collaborate with data scientists, analysts, and business stakeholders to deliver reliable datasets.
• Monitor and troubleshoot data workflows, ensuring high availability and performance.
• Stay updated with emerging AWS technologies and recommend improvements.
Required Skills & Qualification
• sStrong experience with AWS cloud services: S3, Glue, Redshift, EMR, Kinesis, Lambda, DynamoDB, RDS, Athena, SNS. SQS
• .Proficiency in SQL, Python and PySpar
• kKnowledge of data modeling, schema design, and performance tuning
• .Familiarity with CI/CD pipelines and DevOps practices tool (Terraform, CloudFormation)
• .Experience with security best practices (IAM, encryption, compliance)
.
Job Title: AWS Data engineer
Location: Atlanta, GA (Local to GA)
Duration: Long Term Contract
Interview: F2F in final round is mandatory
Job Description:
Key Responsibilities:
• Design, develop, and maintain batch and streaming ETL/ELT pipelines using AWS services (Glue, Lambda, Step Functions, etc.).
• Implement data ingestion frameworks from diverse sources (APIs, databases, streaming platforms).
• Ensure data quality, governance, and security across all pipelines.
• Build and optimize data lakes and warehouses leveraging Amazon S3, Redshift, Athena, and Lake Formation.
• Collaborate with data scientists, analysts, and business stakeholders to deliver reliable datasets.
• Monitor and troubleshoot data workflows, ensuring high availability and performance.
• Stay updated with emerging AWS technologies and recommend improvements.
Required Skills & Qualification
• sStrong experience with AWS cloud services: S3, Glue, Redshift, EMR, Kinesis, Lambda, DynamoDB, RDS, Athena, SNS. SQS
• .Proficiency in SQL, Python and PySpar
• kKnowledge of data modeling, schema design, and performance tuning
• .Familiarity with CI/CD pipelines and DevOps practices tool (Terraform, CloudFormation)
• .Experience with security best practices (IAM, encryption, compliance)
.
