Senior Data Engineer

This role focuses on designing, building, and maintaining robust data pipelines and infrastructure to support data-driven decision-making. The Senior Data Engineer will work closely with data scientists, analysts, and other stakeholders to ensure data quality, accessibility, and performance.

Key Responsibilities:

Design and develop scalable data pipelines using various technologies.
Build and maintain data warehouses and data lakes.
Implement data quality checks and monitoring systems.
Optimize data infrastructure for performance and reliability.
Collaborate with cross-functional teams to understand data needs and deliver solutions.
Troubleshoot and resolve data-related issues.

Requirements/Qualifications:

Significant experience in data engineering.
Proficiency in data warehousing concepts and technologies.
Experience with ETL processes and tools.
Strong programming skills (e.g., Python, Java).
Experience with cloud platforms (e.g., AWS, Azure, GCP).
Excellent problem-solving and communication skills.

About the Company: Data Axle is a leading provider of data and insights, empowering businesses to make informed decisions and achieve their goals. The company specializes in delivering comprehensive data solutions across various industries.