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    Senior Data Engineer - New York, United States - NPAworldwide

    NPAworldwide
    NPAworldwide New York, United States

    2 weeks ago

    Default job background
    Description

    NO SPONSORSHIP - MUST HAVE GREEN CARD OR US / CANADIAN CITIZENSHIP -


    • Data Architecture and Integration - Integrate diverse data sources by designing and implementing scalable high performance data pipelines and infrastructure.
    o Build ETL processes using a variety of methods to facilitate efficient movement of data between systems

    o Incorporate best practices to ensure data pipelines are robust and include error handling and alerting.

    Data Model:

    Design data models that turn complex organizational data into easy to use data structures ensuring seamless flow for WES'S operational, analytics and reporting needs.

    o Use DBT or Snowflake native capabilities to transform data and ensure data is accurate and up to date.

    o Optimize data structures and queries to ensure efficient data storage and retrieval.

    Data Quality:

    Implement and enforce data quality standards to ensure the accuracy and reliability of educational data used in academic assessments globally.


    Collaboration:

    Collaborate with cross-functional teams, including analysts and business stakeholders, to understand unique data requirements for data processing or analytics needs.


    Security:
    Implement and maintain data security measures to protect sensitive information, ensuring compliance with international data privacy regulations.

    Snowflake Expertise:
    Possess expertise in Snowflake for effective data warehousing, transformations, data sharing, and structured management in a cloud-based environment.

    Documentation:
    Create and maintain comprehensive documentation for data engineering processes, systems, and workflows

    Team Leadership:

    Provide technical leadership and mentorship to junior members of the data engineering team, fostering a collaborative environment dedicated to excellence in handling educational data.


    Tableau:
    Utilize Tableau to deliver data insights using impactful visualizations in a meaningful and actionable manner.


    Qualifications:

    Education:

    Bachelor's or Master's Degree in Computer Science, Information Technology, or a related field, with a strong emphasis on Data related technologies.


    Experience:

    Significant experience (usually 5+ years) in data engineering roles, with a focus on designing and implementing scalable data solutions.


    Programming Skills:
    Proficiency in programming languages such as Python, Java, or Scala.

    Database Knowledge:
    Expertise in working with both SQL and NoSQL databases, with hands-on experience in database design and optimization. Proficiency in Snowflake is required.


    • Knowledgeable of Machine Learning concepts and an interest to grow in the area.

    Cloud Platforms:
    Experience with cloud platforms like Azure, AWS, or Google Cloud Platform, and proficiency in leveraging cloud-based.

    Version Control:
    Knowledge of version control systems like Git or Azure DevOps for managing the codebase.

    Problem-Solving Skills:
    Strong analytical and problem-solving skills to address complex data engineering challenges specific to educational data.

    Communication:
    Excellent communication skills to effectively collaborate with cross-functional teams and non-technical stakeholders.

    Adaptability:
    Ability to adapt to evolving technologies and industry best practices in the field of data engineering.


    Nice to Have:

    • Experience using TIBCO EBX
    • Experience using Boomi or other low code ETL tools
    • Experience using Azure for Data Engineering tasks i.e. function apps and other Azure functionality that can be used to build data pipelines.
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