Our enterprise is seeking a skilled data engineer to spearhead the development of a robust data infrastructure that supports real-time analytics. The project aims to enhance data processing capabilities, ensuring timely insights and improved decision-making for our product development and supply chain operations. The successful candidate will work with cutting-edge technologies such as Apache Kafka, Spark, and Databricks.
Internal departments including R&D, manufacturing, and supply chain, who rely on timely data insights to enhance productivity and innovation.
Our current batch data processing infrastructure cannot support the real-time analytics required for timely decision-making across product development and supply chain operations.
There is a strong market demand for real-time analytics in electronics manufacturing to gain competitive advantage and drive innovation, making the investment in data infrastructure crucial.
Failing to implement real-time analytics could lead to inefficiencies, slower time-to-market, and lost competitive edge in a rapidly evolving industry.
Currently, we rely on traditional batch processing and ad-hoc analytics, which are insufficient for the dynamic needs of modern electronics manufacturing.
The integration of a data mesh architecture differentiates us by decentralizing data ownership, enabling faster, more reliable analytics across the organization.
The project will leverage internal advocacy through workshops and training, demonstrating the value of real-time insights in driving departmental objectives.