Data Engineer - Japan - Panalyt|Meet.jobs

薪資

6m - 7m JPY Annually

技能需求

    工作機會描述

    Role and responsibilities

    As a data engineer, your main responsibility is to develop and maintain data pipelines. You are expected to collaborate with other team members in order to achieve the company’s goals. Apart from data pipeline development, your responsibilities include:
    Developing new connectors to SaaS/HR tools, Improving data operations with new solutions, Documenting infrastructure and data pipelines, Helping clients onboarding, QA new product features, etc… Depending on your seniority level, we also expect you to mentor less experienced team members.

    Since Panalyt is a startup, roles and responsibilities are loosely defined and as such, you are encouraged to take on any tasks that you deem necessary to the success of the team/company even if they don’t fall directly under the typical responsibilities of a data engineer.

    Mission

    • Develop and maintain data pipelines
    • Develop internal tools for better monitoring of all data activities.
    • Identify, design and implement internal process improvements :
    • automating manual processes, optimizing delivery, re-designing infrastructure for greater scalability, etc..
    • Improve Data quality and data reliability systems in place.
    • Work closely with the data scientists and the business-side stakeholders to improve their operations.

    Minimum Qualification

    • Bachelor's degree in Data Engineering, Big Data Analytics, Computer Engineering, or related field.
    • 2 year or more experience in data engineering
    • Japanese (Native, fluent)
    • English (Business proficient)
    • Experience with Python, SQL, Java, Javascript.
    • Good analytical and problem-solving skills.
    • A knack for independent and group work.
    • Scrupulous approach to duties.
    • Capacity to successfully manage a pipeline of duties with minimal supervision.

    Preferred Qualification

    • Experience with Public Cloud services (AWS / Azure / GCP )
    • Experience with containers ( Docker / Kubernetes)
    • Knowledge of Apache Airflow

    Key Benefits

    • Full remote: Select the location that makes the most sense for you.
    • Flexible work hours: You prefer to work during the night, you like to go surfing in the morning or you have to pick up your kids at 4pm? Schedule your work in a way that suits your lifestyle.
    • Choice of preferred hardware/software (i.e. laptop, monitor, OS, IDE, etc): Most of us use Macbooks or Linux systems but if you are a Windows person, that’s cool too.
    • Restricted Stock Units: We offer RSU to ensure that you are part of the company’s success.
    • Unlimited vacations: Organize your time off the way you want. Just let the team know a bit in advance so we can plan the work accordingly.

    Panalyt