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Big Data Engineer

Big Data Engineer

TP-Link Systems Inc.Irvine, CA, US
Hace más de 30 días
Tipo de contrato
  • A tiempo completo
Descripción del trabajo

Job Description

Job Description

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 :

  • Design, develop, and maintain scalable big data infrastructure and pipelines, including data ingestion, cleansing, transformation, and data warehouse modeling for large-scale datasets.
  • Design and maintain vector databases and embedding pipelines to support LLM applications, RAG (Retrieval Augmented Generation) systems, semantic search and agentic capabilities.
  • Collaborate with cross-functional teams to deliver reliable, actionable data solutions that support business and product decisions.
  • Implement and manage batch and streaming ETL / ELT workflows using distributed data processing frameworks Spark and orchestration tools.
  • Participate in data integration and ETL pipeline development, ensuring secure and efficient data processing.
  • Investigate system issues, perform troubleshooting, and assist in optimizing data processing workflows.

Requirements

REQUIRED QUALIFICATIONS

  • Bachelor’s degree in Computer Science, Information Systems, or related field.
  • 3-5 years of hands-on experience in data engineering or big data infrastructure, working with large scale datasets in a production environment.
  • Proficiency in Python with experience developing scalable ETL / ELT pipelines or made significant contributions to open source python library
  • Ability to work effectively in a team-oriented environment with good communication and problem-solving skills.
  • PREFERRED QUALIFICATIONS

  • Experience with LLM frameworks and libraries (e.g. LangChain, LlamaIndex) is strongly preferred
  • Benefits

    Salary Range : $100,000 - 150,000

  • 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.

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

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