Optical lens manufacturer scaling data infrastructure and lean operations
Mingyue is a small Chinese optical lens maker (18 employees, Jiangsu-based) with an outsized data stack — Hadoop, Spark, Flink, HBase, MySQL, alongside BI tools (Tableau, FineBI, Power BI). The tech footprint signals a manufacturing operation grappling with rapid data growth and system stability, evidenced by active projects in data warehouse planning and big data platform management. Sales and marketing dominate the hiring mix (9 of 22 open roles), reflecting pressure to move inventory and build brand presence in resin materials.
Mingyue manufactures optical lenses for industrial and commercial applications, headquartered in Danyang, Jiangsu Province. The company operates a lean manufacturing environment and is actively pursuing continuous improvement initiatives alongside product line optimization. Current focus spans new product design, production waste reduction, and on-site layout efficiency. The organization is simultaneously building out data infrastructure to support product data repositories and big data analytics, pointing to a maturation phase where scale and operational intelligence are becoming competitive pressures.
Hadoop, Apache Spark, Apache Flink, HBase, MySQL, Python, Java, Docker. BI layer includes Tableau, FineBI, and Power BI. Also uses CAD, ERP, and Microsoft Office for enterprise operations.
New product design, lean production improvement, data warehouse planning, big data platform architecture, product data repositories, and brand positioning strategy. Focus areas include waste reduction and on-site layout optimization.
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