Senior Data Engineer

Posted 4 Days Ago
Be an Early Applicant
Singapore
Senior level
Gaming • Hardware
The Role
Design, build, and maintain data processing systems for analytics and AI applications. Develop data pipelines, manage data storage, and mentor junior engineers.
Summary Generated by Built In

Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.

Job Responsibilities :

This role is required to design, build and maintain high volume big data processing systems that enable the organization to collect, manage, and convert raw data into usable information for data scientists and business analysts, and enabling the use of Artificial Intelligence (AI) capabilities. He / She is responsible for developing and maintaining data pipelines, data storage systems and cloud infrastructure, while working closely with data scientists, data analysts and internal stakeholders to utilize data for analytics and AI capabilities.

Essential Duties and Responsibilities

  • Owns and improve the data stack used in the team to enhance the data processing capabilities.
  • Design, develop and maintain data systems and data pipelines that enable the organization to store, process, and analyze large volumes of data. This involves developing data pipelines, designing data storage systems, and ensuring that data is integrated effectively to support of AI applications.
  • Manage data lakes and data warehouses by populating and operationalizing them. This involves creating and managing table schemas, views, materialized views, including tokenization and vectorization techniques for Gen AI.
  • Monitor and troubleshoot data workflows, ensuring timely resolution of failures and rerunning failed jobs to ensure data completeness.
  • Leverage modern build tools to enhance automation, data quality, testing, and deployment of data pipelines.
  • Design and build AI Powered and GenAI applications collaboratively with data scientists, data analysts, product managers and business users.
  • Develop and implement cloud infrastructure that are in line with company's security policies and practices, as well as cost optimization practices.
  • Manage and scope projects that involve collaboration with data scientists, data analysts and business users to understand the data needs of various stakeholders across the organization to implement appropriate solutions.
  • Mentor interns and junior engineers in the team

    Pre-Requisites :

    Qualifications and Skills

    • Degree in computer science, engineering, mathematics or equivalent experience.
    • 5+ years of relevant professional experience.
    • Ability to scope projects and effectively lead and mentor more junior colleagues.
    • Ability to write clean, maintainable, scalable and robust code using Python, SQL, Java.
    • Proven experience in building and maintaining pipelines in production for advanced analytics uses cases.
    • Experience with cloud data services such as AWS Redshift, Snowflake, BigQuery, or Azure Data Lake.
    • Experience using Infrastructure As Code tools such as Terraform, containerization tools like Dockers, container orchestration platforms like Kubernetes.
    • Experience using orchestration tools like Airflow, distributed computing framework like Spark or Dask, data transformation tool like Data Build Tool (DBT).
    • Experience with CI/CD pipelines for data engineering workflows.
    • Experience with various data processing techniques (streaming, batch, event-based), managing and optimizing data storage (Data Lake, Data Warehouse, Vector Data Stores and Database, SQL, and NoSQL) is essential.
    • Excellent problem-solving and analytical skills, with an understanding of AI technologies and their applications
    • Excellent written and verbal communication skills for coordinating across teams.

    Are you game?

    Top Skills

    Airflow
    Aws Redshift
    Azure Data Lake
    BigQuery
    Dask
    Data Build Tool (Dbt)
    Docker
    Java
    Kubernetes
    Python
    Snowflake
    Spark
    SQL
    Terraform
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    The Company
    1,383 Employees
    On-site Workplace
    Year Founded: 2005

    What We Do

    Razer™ is the world’s leading lifestyle brand for gamers.

    The triple-headed snake trademark of Razer is one of the most recognized logos in the global gaming and esports communities.

    With a fan base that spans every continent, the company has designed and built the world’s largest gamer-focused ecosystem of hardware, software and services.

    Razer’s award-winning hardware includes high-performance gaming peripherals and Blade gaming laptops. Razer’s software platform, with over 70 million users, includes Razer Synapse (an Internet of Things platform), Razer Chroma™ (a proprietary RGB lighting technology system), and Razer Cortex (a game optimizer and launcher).

    In services, Razer Gold is one of the world’s largest virtual credit services for gamers, and Razer Fintech is one of the largest online-to-offline digital payment networks in SE Asia.

    Founded in 2005 and dual-headquartered in Irvine and Singapore, Razer has 18 offices worldwide and is recognized as the leading brand for gamers in the USA, Europe and China. Razer is listed on the Hong Kong Stock Exchange (Stock Code: 1337).

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