
Senior Big Data Developer
2 days ago
Design and Develop Data Pipelines
As a Senior Data Engineer, you will work on implementing an application for a large retailer. You will be responsible for hands-on coding expertise in Python and PySpark to handle Big Data and backend engineering tasks.
Key Responsibilities:
- Design and Develop Data Pipelines: Design and develop data pipelines using Python/PySpark to handle big data and backend engineering tasks.
- Collaborate with Business Stakeholders: Collaborate with business stakeholders to implement feedback and analytics solutions.
- Work with IoT Systems: Work with IoT systems, especially in refrigeration units, HVAC systems, controllers, and sensors.
- Develop Strong Understanding: Develop a strong understanding of equipment and systems from Emerson, Honeywell, or similar.
- Explain Data Flows: Explain data flows through IoT units and sensor design and monitoring.
Required Skills and Qualifications:
- 5+ Years of Experience: 5+ years of experience as a Data Engineer.
- Expertise in Python/Pyspark: Expertise in Python, Pyspark, and SQL.
- Hands-on Coding Experience: Hands-on Python/PySpark coding experience.
- Strong Big Data Experience: Strong Big Data experience, GCP preferred.
- Telemetry Experience: Telemetry experience.
- Streaming Experience: Streaming experience with analytics and data processing.
- Business Analytics Experience: Business analytics experience and working directly with business partners to implement feedback.
Nice to Have Skills and Experience:
- Strong Understanding of IoT Systems: A strong understanding of IoT systems, especially in refrigeration units, HVAC systems, controllers, and sensors.
- Familiarity with Equipment and Systems: Familiarity with equipment and systems from Emerson, Honeywell, or similar.
Preferred Skills and Experience:
- Domain Experience in IoT Systems: Domain experience in IoT systems, HVAC/refrigeration equipment, and other mechanical solutions.
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