Big Data Engineering Manager
Apply NowCompany: TP-Link Systems Inc.
Location: Irvine, CA 92620
Description:
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.
OVERVIEW
Responsible for leading the Big Data Engineering team and overseeing the planning, development, and operations of the Big Data Platform. This role requires not only overall team management but also hands-on technical involvement to tackle complex technical challenges and ensure the platform's stable and efficient performance.
KEY RESPONSIBILITIES
Technical Guidance and Team Management
Platform Operations and System Maintenance
Cross-Departmental Collaboration and Support
Requirements
REQUIRED QUALIFICATIONS
Education and Experience
Technical Skills
Soft Skills
PREFERRED QUALIFICATIONS
Benefits
Salary Range: $190-220K
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.
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.
OVERVIEW
Responsible for leading the Big Data Engineering team and overseeing the planning, development, and operations of the Big Data Platform. This role requires not only overall team management but also hands-on technical involvement to tackle complex technical challenges and ensure the platform's stable and efficient performance.
KEY RESPONSIBILITIES
Technical Guidance and Team Management
- Lead the team in executing data cleansing, data warehouse modeling, and report development on the Big Data Platform to provide crucial data support.
- Address daily technical challenges, optimize system performance, conduct fault diagnosis, and resolve issues to ensure stable and efficient platform operations.
- Organize regular technical sharing sessions and training programs to enhance the team's overall technical proficiency and problem-solving capabilities.
- Stay up-to-date with the latest big data industry technologies and apply them to the big data platform to enhance data processing efficiency, providing more efficient and intelligent data support and analytical services to external departments.
Platform Operations and System Maintenance
- Oversee the deployment of the Big Data Platform, including task scheduling, proactive monitoring, and alert configuration to ensure system security, stability, and high availability.
- Participate in platform architecture design and optimization, resolving technical challenges in data collection, integration, and ETL development to ensure efficient and accurate data processing workflows.
- Promote the implementation of data de-identification and data security management strategies to maintain data compliance and privacy protection.
Cross-Departmental Collaboration and Support
- Collaborate closely with business departments to understand and analyze requirements, providing customized data solutions and actionable insights.
- Manage data querying, statistical analysis, and report development, delivering accurate and timely data reports and technical recommendations to decision-makers.
- Coordinate internal and external resources to drive the application of big data technologies across various business scenarios within the company.
Requirements
REQUIRED QUALIFICATIONS
Education and Experience
- Bachelor's degree or higher in Computer Science or a related field.
- Minimum of 5 years' experience building and maintaining Big Data Platforms.
- At least 2 years of team management experience.
Technical Skills
- In-depth 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 development.
- Proficiency in Linux development environments and Python programming, with strong coding and problem analysis skills.
- Practical experience with cloud platforms (AWS, Azure, OCI) for deploying and operating big data systems.
Soft Skills
- Excellent communication and coordination skills, capable of bridging technical and management roles in cross-functional projects.
- Proactive and highly responsible, with a strong team spirit and robust technical leadership capabilities.
PREFERRED QUALIFICATIONS
- Hands-on experience in building teams from scratch are highly preferred.
Benefits
Salary Range: $190-220K
- 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.