Cozen Technology Solutions Inc
AWS Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Data Engineer in Atlanta, GA, with a contract length of "unknown" and a pay rate of "unknown." Key skills include AWS services, SQL, Python, and data modeling. Experience with data ingestion frameworks and security best practices is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 26, 2025
🕒 - 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
#Python #Terraform #AWS (Amazon Web Services) #DevOps #SNS (Simple Notification Service) #Redshift #SQL (Structured Query Language) #Security #Datasets #Data Modeling #Data Lake #Data Engineering #Batch #IAM (Identity and Access Management) #DynamoDB #Lambda (AWS Lambda) #Databases #SQS (Simple Queue Service) #Athena #Compliance #Data Quality #RDS (Amazon Relational Database Service) #"ETL (Extract #Transform #Load)" #Data Science #Spark (Apache Spark) #Schema Design #S3 (Amazon Simple Storage Service) #Data Ingestion #PySpark #Cloud
Role description
Job title: AWS Data Engineer
Locations: Atlanta, GA - Onsite
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 & Qualifications
• Strong experience with AWS cloud services: S3, Glue, Redshift, EMR, Kinesis, Lambda, DynamoDB, RDS, Athena, SNS. SQS.
• Proficiency in SQL, Python and PySpark
• Knowledge 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
Locations: Atlanta, GA - Onsite
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 & Qualifications
• Strong experience with AWS cloud services: S3, Glue, Redshift, EMR, Kinesis, Lambda, DynamoDB, RDS, Athena, SNS. SQS.
• Proficiency in SQL, Python and PySpark
• Knowledge 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).
