
Implementing Scalable Data Pipelines for IoT Systems
4 days ago
We are seeking a highly skilled and experienced Senior Data Engineer to help design and implement a data processing pipeline using streaming analytics and telemetry data for a large retailer.
The ideal candidate will have hands-on coding expertise in Python and Pyspark, as well as strong Big Data experience, preferably on GCP. A strong understanding of data flow through IoT units and the ability to explain how sensors are designed and monitored is essential.
Key Responsibilities:
- Design and implement a scalable data processing pipeline using streaming analytics and telemetry data.
- Collaborate with cross-functional teams to identify business requirements and develop solutions that meet their needs.
- Maintain and improve existing data pipelines, ensuring high-quality data delivery and minimizing downtime.
Required Skills and Qualifications:
- Hands-on experience with Python, Pyspark, and Big Data technologies.
- Strong understanding of data flow through IoT units and sensor monitoring.
- Experience working with equipment and systems from Emerson, Honeywell, or similar.
- Excellent business analytics skills and ability to work directly with business partners.
- Strong communication and collaboration skills.
Benefits:
This is an excellent opportunity for someone who is passionate about IoT systems and has a strong background in data engineering. If you are looking for a challenging role that offers opportunities for growth and development, this could be the perfect fit for you.
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