
Senior AWS IoT Data Engineering Specialist
1 week ago
We are seeking a specialist with 5 to 7 years of experience in AWS IoT data engineering and strong Python skills to design and implement scalable IoT data solutions.
4 years of experience in GCP BQ Dataflow Airflow and Python is also required. The candidate should have hands-on experience in data transformation and data ingestion.
The successful candidate will develop and maintain data engineering solutions leveraging AWS IoT services, utilizing Python programming to build, optimize, and automate data pipelines. They will work with large-scale IoT data ingestion, processing, and storage architectures, collaborating with cross-functional teams to integrate IoT data with analytics and monitoring platforms. Ensuring data quality, reliability, and security in IoT data workflows is essential.
Key Responsibilities:
- Design, develop, and deploy scalable IoT data pipelines using AWS services
- Write efficient, reusable, and maintainable Python code for data processing tasks
- Monitor and troubleshoot data ingestion and processing issues to maintain system reliability
- Optimize data workflows for performance and cost efficiency
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements
- Implement security best practices for IoT data handling and storage
- Document solutions and contribute to knowledge sharing within the team
This role requires a strong understanding of AWS IoT services, Python programming, and data engineering principles. If you are passionate about building scalable and efficient data pipelines, we encourage you to apply.
About Us:
We are committed to delivering innovative solutions that drive business value. Our team is passionate about technology and dedicated to helping our clients succeed.
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