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Senior Big Data Engineer

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ABOUT US:

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. 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 RESPONSIBILITIES

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.

REQUIRED QUALIFICATIONS

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 ClickHouse, 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.

PREFERRED QUALIFICAITONS

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.

Salary Range: $150,000 - $180,000

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. As a global company, we highly value diverse perspectives and are committed to cultivating an environment where all voices are heard, respected, and valued. 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. Beyond compliance, we strive to create a supportive and growth-oriented workplace for everyone. If you share our passion and connection to this mission, we welcome you to apply and join us in building a vibrant and inclusive team at TP-Link Systems Inc.

Average salary estimate

$165000 / YEARLY (est.)

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$180000K

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What You Should Know About Senior Big Data Engineer, TP-Link Systems Inc.

Are you ready to make a difference at TP-Link Systems Inc. as a Senior Big Data Engineer? As a globally recognized provider of innovative networking devices and smart home products, we are on the lookout for someone who is passionate about harnessing the power of big data to enhance connectivity. In this dynamic role, you'll be developing and maintaining our Big Data Platform, collaborating with cross-functional teams to derive actionable insights from large datasets. Your expertise will shine as you manage operations and administration of the platform, ensuring stability and security while troubleshooting critical issues with a proactive approach. Do you have a keen understanding of technologies like Hadoop, Spark, and Hive? A bachelor’s degree in Computer Science or a related field and at least three years of experience will set you on the right path with us. You’ll support various departments by processing data, performing statistical analyses, and generating insightful reports. Join us, where we value innovation, collaboration, and a proactive attitude. With a salary range of $150,000 - $180,000, plus amazing benefits like fully paid health insurance and a free gym membership, TP-Link Systems Inc. is committed to not just exceptional technology, but also to an outstanding workplace culture. If you are eager to contribute to a company that believes technology can change the world for the better, we’d love to have you on our team!

Frequently Asked Questions (FAQs) for Senior Big Data Engineer Role at TP-Link Systems Inc.

What are the key responsibilities of a Senior Big Data Engineer at TP-Link Systems Inc.?

As a Senior Big Data Engineer at TP-Link Systems Inc., you will develop and maintain our Big Data Platform, perform data cleansing and modeling, and report development on large datasets. You'll collaborate with cross-functional teams to provide actionable insights, manage operations of the Big Data Platform, and handle data collection and integration tasks including ETL development. Additionally, you'll be supporting other departments by processing data and generating reports.