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2 weeks ago
We are seeking a Senior Data Engineer with hands-on expertise in large-scale data processing pipelines using Python and PySpark.
The ideal candidate will have a strong background in Telemetry, Big Data, and backend engineering, with experience in implementing applications for large retailers.
A domain understanding of IoT systems, HVAC/refrigeration equipment, and mechanical solutions is highly desirable to effectively communicate with business stakeholders.
Key Responsibilities:
- Design, develop, and maintain large-scale data processing pipelines using Python and PySpark.
- Collaborate with cross-functional teams to understand business requirements and implement feedback.
- Work closely with data scientists to develop predictive models and analytics applications.
- Ensure high-quality code and adherence to best practices.
Requirements:
- 5+ years of experience as a Data Engineer.
- Expertise in Python, Pyspark, and SQL.
- Hands-on Python/PySpark coding experience.
- Strong Big Data experience, preferably on GCP.
- Telemetry experience.
- Streaming experience with analytics and data processing.
- Business analytics experience and working directly with business partners to implement feedback.
- Nice to Have Skills & Experience:
- Strong understanding of IoT systems, especially in Refrigeration units, HVAC systems, Controllers and sensors.
- Familiarity with equipment and systems from Emerson, Honeywell, or similar.
- Ability to explain how data flows through IoT units and how sensors are designed and monitored.
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