Jobs

    Big Data Engineer - Singapore - TIKTOK PTE. LTD.

    TIKTOK PTE. LTD.
    TIKTOK PTE. LTD. Singapore

    1 week ago

    TIKTOK PTE. LTD background
    Description
    Roles & Responsibilities

    Responsibilities

    TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

    Why Join Us

    Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

    Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

    To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

    At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

    Join us.

    Team Introduction

    The mission of the Data Platform Singapore Business Partnering (DPSG BP) team is to empower the TikTok Business with data. Our goal is to build a Data Warehouse that can cater to batch and streaming data, Data Products that provide useful information to build efficient data metrics & dashboards which will be used to make smarter business decisions to support business growth. If you're looking for a challenging ground to push your limits, this is the team for you

    Translate business requirements & end to end designs into technical implementations and responsible for building batch and real-time data warehouse

    Manage data modeling design, writing, and optimizing ETL jobs

    Collaborate with the business team to building data metrics based on data warehouse

    Responsible for building and maintaining data products

    Involvement in rollouts, upgrades, implementation, and release of data system changes as required for streamlining of internal practices

    Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.

    Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.

    Visualise, interpret, and report data findings and may create dynamic data reports as well.

    Qualifications

    At least 5 years in software engineering and 2 years of relevant experience in data engineering

    Proficient in creating and maintaining complex ETL pipelines end-to-end while maintaining high reliability and security

    Familiar with data warehouse concept and have production experience in modeling design

    Familiar with at least 1 distributed computing engine (e.g. Hive, Spark, Flink)

    Familiar with at least 1 NoSQL database is a plus (e.g. HBase)

    Excellent interpersonal and communication skills with the ability to engage and manage internal and external stakeholders across all levels of seniority

    Strong collaboration skills with the ability to build rapport across teams and stakeholders

    TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

    Tell employers what skills you have

    Machine Learning
    Streamlining
    Modeling
    Big Data
    Data Modeling
    Pipelines
    Natural Language Processing
    Hadoop
    Business Partnering
    Software Engineering
    ETL
    Reliability
    Data Engineering
    Design Writing
    Data Mining
    Business Requirements


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