Senior AWS Data Engineer - ETL & Analytics Architect

Compunnel, Inc.; Northern (KY); Hybrid; USD 130,000 - 170,000; Full time

Job summary

Compunnel, Inc. is seeking a Senior AWS Big Data Engineer for the United States market. The role demands 12+ years in data engineering, ETL development, data analysis, and technical architecture for analytics solutions. Strong Python, SQL, and AWS skills are required to build and maintain scalable data platforms.

You will design, implement and optimize data processing workflows, collaborate with stakeholders, and ensure reliable analytics workloads across enterprise initiatives.

Qualifications

• 12+ years of professional experience in data engineering, big data, or related technology roles.
• Strong hands-on experience with Python.
• Strong proficiency in SQL.
• Strong experience working with AWS services.
• Experience building and maintaining ETL pipelines.
• Experience with data analysis and analytics solutions.
• Experience designing or reimagining technical architecture for analytics platforms.

Responsibilities

• Build and maintain ETL pipelines to support data integration and analytics requirements.
• Perform data analysis and develop solutions to support enterprise analytics initiatives.
• Reimagine and enhance technical architecture for analytics platforms and data solutions.
• Design and implement scalable data engineering solutions using AWS services.
• Develop and optimize data processing workflows using Python and SQL.
• Collaborate with technical and business stakeholders to understand requirements and deliver effective data solutions.
• Troubleshoot and optimize data pipelines and analytics workloads to ensure reliability and performance.

Skills

Python

SQL

AWS

ETL pipelines

Data analytics

Technical architecture

Job description

Compunnel, Inc. is seeking a Senior AWS Big Data Engineer for the United States market. The role demands 12+ years in data engineering, ETL development, data analysis, and technical architecture for analytics solutions. Strong Python, SQL, and AWS skills are required to build and maintain scalable data platforms.

You will design, implement and optimize data processing workflows, collaborate with stakeholders, and ensure reliable analytics workloads across enterprise initiatives.