AWS Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Data Engineer, contract length unknown, with a pay rate of "unknown". Responsibilities include designing ETL/ELT pipelines, data ingestion, and optimizing data lakes using AWS services. Key skills required: Python, AWS, and data engineering experience.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
-
🗓️ - Date discovered
September 11, 2025
🕒 - Project duration
Unknown
-
🏝️ - Location type
Unknown
-
📄 - Contract type
Unknown
-
🔒 - Security clearance
Unknown
-
📍 - Location detailed
Atlanta, GA
-
🧠 - Skills detailed
#Python #"ETL (Extract #Transform #Load)" #Scala #Data Science #Lambda (AWS Lambda) #Data Processing #S3 (Amazon Simple Storage Service) #Data Analysis #Data Warehouse #Data Lake #Redshift #AWS (Amazon Web Services) #Data Pipeline #Data Ingestion #Data Engineering #Data Quality
Role description
• Design, develop, and maintain scalable ETL/ELT data pipelines in AWS.
• Implement data ingestion from a variety of structured and unstructured data sources.
• Build and optimize data lakes and data warehouses using AWS services (e.g., S3, Redshift, Glue, EMR, Lambda).
• Write high-quality, efficient Python code for data processing and transformation.
• Develop and maintain data models and schemas to support analytics and reporting.
• Work closely with data analysts, data scientists, and business stakeholders to understand requirements and deliver data solutions.
• Monitor and troubleshoot data pipelines to ensure accuracy, reliability, and performance.
• Implement data quality and validation checks.
• Design, develop, and maintain scalable ETL/ELT data pipelines in AWS.
• Implement data ingestion from a variety of structured and unstructured data sources.
• Build and optimize data lakes and data warehouses using AWS services (e.g., S3, Redshift, Glue, EMR, Lambda).
• Write high-quality, efficient Python code for data processing and transformation.
• Develop and maintain data models and schemas to support analytics and reporting.
• Work closely with data analysts, data scientists, and business stakeholders to understand requirements and deliver data solutions.
• Monitor and troubleshoot data pipelines to ensure accuracy, reliability, and performance.
• Implement data quality and validation checks.
