Senior Big Data Engineer

About TP-Link Systems

Headquartered 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. TP-Link serves customers in over 170 countries and continues to grow its global footprint.

We believe technology changes the world for the better and 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.

• Develop and maintain the Big Data Platform by performing data cleansing, data warehouse modeling, and report development on large datasets. Collaborate with cross-functional teams to provide actionable insights for decision-making.
• Manage the operation and administration of the Big Data Platform, including system deployment, task scheduling, proactive monitoring, and alerting to ensure stability and security.
• Handle data collection and integration tasks, including ETL development, data de-identification, and managing data security.
• Provide support for other departments by processing data, writing queries, developing solutions, performing statistical analysis, and generating reports.
• Troubleshoot and resolve critical issues, conduct fault diagnosis, and optimize system performance.

• Bachelor’s degree or higher in Computer Science or a related field, with at least three years of experience maintaining a Big Data platform.
• Strong understanding of Big Data technologies such as Hadoop, Flink, Spark, Hive, HBase, and Airflow, with proven expertise in Big Data development and performance optimization.
• Familiarity with Big Data OLAP tools like Kylin, Impala, and Click House, as well as experience in data warehouse design, data modeling, and report generation.
• Proficiency in Linux development environments and Python programming.
• Excellent communication, collaboration, and teamwork skills, with a proactive attitude and a strong sense of responsibility.

• Experience with cloud-based deployments, particularly AWS EMR, with familiarity in other cloud platforms being a plus.
• Proficiency in additional languages such as Java or Scala is a plus.

• Free snacks and drinks, and provided lunch on Fridays
• Fully paid medical, dental, and vision insurance (partial coverage for dependents)
• Contributions to 401k funds
• Bi-annual reviews, and annual pay increases
• Health and wellness benefits, including free gym membership
• Quarterly team-building events

At TP-Link Systems Inc., we are continually searching for ambitious individuals who are passionate about their work. We believe that diversity fuels innovation, collaboration, and drives our entrepreneurial spirit. We are dedicated to providing equal employment opportunities to all employees and applicants, and we prohibit discrimination and harassment of any kind based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

We strive to create a supportive and growth-oriented workplace for everyone. We welcome you to apply and join us in building a vibrant and inclusive team at TP-Link Systems Inc.

Please, no third-party agency inquiries, and we are unable to offer visa sponsor ships at this time.