
Data Engineering Solutions Lead
1 day ago
IoT Data Solutions Architect
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 architectures.
The ideal candidate will have hands-on experience in data transformation and data ingestion using GCP BQ Dataflow Airflow, and Python programming skills.
About the Role:
- 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.
- Collaborate with cross-functional teams to integrate IoT data with analytics and monitoring platforms.
About Our Team:
We work on large-scale IoT data ingestion, processing, and storage architectures. We stay updated with the latest AWS IoT and data engineering technologies and best practices.
Key Responsibilities:
Ingest and process vast amounts of IoT data from various sources into our cloud-based architecture.
Implement data transformation and aggregation using Big Data tools such as Apache Beam or AWS Glue.
Develop high-performance data pipelines that can handle real-time and batch data processing workloads.
Maintain and optimize existing data systems to ensure scalability, security, and reliability.
Bonus Points:
- Experience working with NoSQL databases such as DynamoDB or MongoDB - Knowledge of containerization using Docker or Kubernetes - Familiarity with DevOps tools like Jenkins or GitLab CI/CD - Proficiency in at least one machine learning framework such as TensorFlow or PyTorch
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