Description

In this role, you will design and implement data pipelines while collaborating with analysts to ensure high-quality telemetry datasets. Your work will focus on building robust data models and maintaining components in Snowflake, all while leading best practices in data engineering.

Requirements

• •5+ years of experience in data engineering
• •Strong SQL skills and proficiency in Python or another scripting language
• •Solid understanding of data modeling, ETL/ELT design, and distributed data processing
• •Good communication and collaboration skills
• •Hands-on experience with Snowflake Data Cloud
• •Experience working with telemetry data from devices, sensors, or other field-based systems
• •Familiarity with cloud-based data platforms (e.g., Azure, AWS, GCP)
• •Experience with Microsoft Fabric

Tasks

• •Design and implement scalable data pipelines
• •Ingest, process, and transform telemetry data from ESLs and EdgeSense devices
• •Build and evolve data models and workflows for analytics and reporting
• •Develop and maintain data processing components in Snowflake Data Cloud
• •Collaborate with analysts to ensure high-quality telemetry datasets
• •Contribute to the design of a modern data architecture
• •Encourage innovation and adoption of best-fit tools and technologies
• •Define and enforce data quality, observability, and governance practices
• •Lead and mentor on engineering best practices, including testing and documentation
• •Implement CI/CD and data reliability engineering

Tools & Technologies

Benefits