Big Data Engineer

TP-Link Systems Inc Job PostHeadquartered in the United States, TP-Link Systems Inc is a global provider of reliable networking devices and smart home products, consistently ranked as the world's top provider of Wi-Fi devices. The company is committed to delivering innovative products that enhance people's lives through faster, more reliable connectivity. With a commitment to excellence, TP-Link serves customers in over 170 countries and continues to grow its global footprint.We believe technology changes the world for the better! At TP-Link Systems Inc, we are committed to crafting dependable, high-performance products to connect users worldwide with the wonders of technology.Embracing professionalism, innovation, excellence, and simplicity, we aim to assist our clients in achieving remarkable global performance and enable consumers to enjoy a seamless, effortless lifestyle.Key ResponsibilitiesOwn a component of the data platform end to end — its pipelines, tables, quality checks, monitoring, and recovery.Design and build ETL on EMR (Spark) and Airflow, and data ingestion from OLTP sources via DataX / CDC, including incremental sync and upstream schema changes.Model the data for your area: dimensional models and layering (ODS / DWD / DWS / ADS) that serve real analytical use cases.Own data quality for your component — write the checks and freshness monitoring, and resolve issues before they reach downstream users.Tune runtime and infrastructure cost for the jobs you own, and choose the right engine for a workload (StarRocks serving vs. batch on EMR).Build components other engineers can reuse, and automate work that would otherwise repeat.Work directly with analysts and business stakeholders to turn requirements into models and datasets that actually get used.