Sr. Data Cloud Engineer

This role focuses on designing, developing, and implementing robust and scalable data cloud solutions. The ideal candidate will possess a strong understanding of cloud technologies, data warehousing principles, and data engineering best practices, contributing to the delivery of high-quality data services.

Key Responsibilities:

Design and develop data pipelines for ingestion, processing, and storage of large datasets.
Build and maintain data warehouses and data lakes on cloud platforms.
Implement data quality and governance processes.
Optimize data infrastructure for performance and cost-effectiveness.
Collaborate with cross-functional teams to understand data requirements and deliver solutions.
Troubleshoot and resolve data-related issues.

Requirements/Qualifications:

Significant experience in data engineering and cloud computing.
Proficiency in data warehousing concepts and technologies.
Experience with cloud platforms (e.g., AWS, Azure, GCP).
Strong programming skills (e.g., Python, Java).
Experience with big data technologies (e.g., Spark, Hadoop).
Excellent communication and collaboration skills.

About the Company: Persistent is a technology services company focused on helping businesses innovate and transform through digital solutions. They specialize in delivering engineering services and products across a range of industries, enabling clients to achieve their strategic goals.