Senior Data Engineer: Cloud Pipelines, Analytics & ML Data

Compunnel, Inc.; Charlotte (NC); On-site; USD 120,000 - 150,000; Full time

Job summary

Compunnel, Inc. is seeking a Senior Data Engineer to design, develop, and optimize scalable cloud-based data platforms essential for analytics and business intelligence. The ideal candidate will lead the development of high-performance ETL/ELT pipelines and ensure compliance with security and regulatory standards.

The position requires expertise in Python, SQL, and cloud platforms like AWS or Azure, along with a strong foundation in data engineering methodologies.

Qualifications

• 6+ years of experience in Data Engineering or ETL development.
• Strong SQL skills with a proven track record of optimizing complex queries.
• Hands-on experience with Python for data processing and automation.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines.
• Collaborate with cross-functional teams for high-quality data solutions.
• Monitor production data pipelines and troubleshoot failures.

Skills

Python

SQL

Cloud data platforms

ETL/ELT development

Data engineering best practices

Apache Spark

Data quality validation

Agile methodologies

Education

Bachelor's degree in Computer Science or Information Systems

Tools

AWS

Azure

GCP

Informatica

Talend

Apache Airflow

Kafka

Job description

Compunnel, Inc. is seeking a Senior Data Engineer to design, develop, and optimize scalable cloud-based data platforms essential for analytics and business intelligence. The ideal candidate will lead the development of high-performance ETL/ELT pipelines and ensure compliance with security and regulatory standards.

The position requires expertise in Python, SQL, and cloud platforms like AWS or Azure, along with a strong foundation in data engineering methodologies.