Real-Time Data Pipeline Optimization for IoT Sensor Networks

As a growing SME in the Internet of Things (IoT) sector, we deliver cutting-edge solutions for smart manufacturing. Currently, our data pipeline infrastructure needs optimization to handle the increasing volume of sensor data. The project aims to enhance data ingestion, transformation, and real-time analytics capabilities using technologies such as Apache Kafka and Apache Spark. Additionally, we plan to implement data observability tools to monitor data flow and ensure data accuracy and completeness. This initiative will support our efforts in predictive maintenance and operational efficiency. We seek a data engineer with experience in modern data architecture, including data mesh and MLOps practices, to collaborate with our in-house team. The project involves the integration of tools like Airflow, dbt, and Databricks to streamline data workflows and enable seamless data transformations. Successful completion of this project will significantly boost our ability to provide timely insights, driving value for our manufacturing clients.