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    Data Engineer - Ho Chi Minh City, Việt Nam - NodeFlair

    NodeFlair
    NodeFlair Ho Chi Minh City, Việt Nam

    13 giờ trước

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    Mô tả

    Your responsibilities entail:

    • Acting as a trusted advisor, steering our clients towards effective technical solutions for their data-related issues.
    • Articulating the what, why, and how of proposed solutions to both technical and non-technical stakeholders.
    • Mastering the realm of big data while developing, testing, and overseeing distributed data processing pipelines.
    • Extracting versatile data sets and sources to generate high-quality, reproducible datasets in a scalable and maintainable manner.
    • Collaborating seamlessly with various data roles such as Architects, Software Engineers, and Data Scientists.
    • Grasping the requirements of diverse producers and consumers for our data services, ensuring alignment with their needs.
    • Executing projects in an Agile manner, iterating to deliver value from data early and consistently.
    • Keeping yourself abreast of the latest technologies and concepts, remaining open to continuous learning.
    • Engaging collaboratively with colleagues and clients, whether onsite, at the Zuhlke office, or remotely from home.

    Job Requirements:We welcome candidates with ANY of the following skills and experiences, as we value adaptability and a willingness to learn new technologies based on project requirements:

    • Experience in designing, constructing, and managing data products that cater to the needs of data consumers.
    • Familiarity with common approaches to data analysis, machine learning, and data visualization to deliver appropriate data for consumers.
    • Proficiency in various data architecture methodologies (e.g., Data Lake, Data Mesh, Data Warehouse, streaming, batch processing).
    • Hands-on experience with both relational and NoSQL databases.
    • Knowledge of big data infrastructures and principles for handling large and/or diverse data volumes.
    • Practical expertise in handling various types of structured and unstructured data (text, tabular, graph, time-series, geospatial, image, etc.).
    • Working knowledge of containerization and public/private Cloud environments.
    • Understanding of information security and data governance principles.
    • Strong data programming skills with proficiency in languages like Java or Python.
    • Experience in delivering projects within deadlines, with a focus on quality, ideally in client-facing scenarios.

    You'll have the chance to work with a range of technologies and tools, including:

    • Programming Languages: Java, Python, SQL.
    • Cloud Environments: AWS, GCP, Azure.
    • Big Data Frameworks: Hadoop, Spark, Kafka.
    • Databases: PostgreSQL, MongoDB, Hive.
    • Orchestration and Containerization: Airflow, Docker.

    Desired Behaviors:

    • You're adaptable and proactive, responding swiftly to changes while embracing learning opportunities.
    • You strive to maximize benefits efficiently yet comprehensively.
    • You identify and seize opportunities confidently, adopting an entrepreneurial mindset.
    • Customer focus is paramount, guiding clients from concept to market success.
    • Clear communication, negotiation skills, empathy, and the ability to see things from others' perspectives are your strengths.
    • You establish and nurture long-term, partnership-oriented relationships.
    • You act in the best interests of the organization, seeking synergies.
    • You take personal initiative in overcoming obstacles, maintaining an optimistic outlook, and ensuring long-term performance.
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