Live opening · Posted 10 hours ago
The key details from the original listing.
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Description supplied by the original job listing.
Key Responsibilities:
Design and implement scalable data pipelines to ingest, process, and transform telemetry data from ESLs and EdgeSense devices.
Build and evolve data models and workflows to support analytics, dashboards, and reporting use cases.
Develop and maintain data processing components within modern cloud-based data platforms (Azure and Snowflake).
Collaborate closely with analysts to ensure high-quality, accessible telemetry datasets.
Contribute to the continuous improvement of data architecture, tooling, and engineering standards.
Support implementation of data quality, observability, and governance practices.
Apply engineering best practices including testing, documentation, CI/CD, and data reliability principles.
Required:
1+ years of professional experience in data engineering or a closely related field.
Strong SQL skills and proficiency in Python or another scripting language for data processing and automation.• Solid understanding of data modeling, ETL/ELT design, and structured data workflows.
Experience working with cloud-based data platforms (e.g., Azure or Snowflake).
Ability to work independently on defined tasks and deliver production-ready solutions.
Good communication and collaboration skills.
Preferred:
Experience with Snowflake Data Cloud or similar data warehouse technologies.
Experience working with telemetry data from devices, sensors, or other field-based systems.
Experience with Azure Data Factory.
Employment type
Full-time
Work arrangement
Hybrid
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