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Coppell

    Cloud Data Engineer - Coppell, United States - NewRez LLC

    NewRez LLC
    NewRez LLC Coppell, United States

    1 month ago

    Default job background
    Description
    Exceed the expectations of our residential mortgage borrowers & business partners through superior service, simple processes, and effective communications.


    We deliver on this mission by empowering our employees by encouraging and recognizing superior performance and innovative solutions, by promoting teamwork and divisional cooperation.

    Primary Function


    Cloud Data Engineer is responsible for any technological duties associated with cloud computing, including design, planning, management, maintenance and support.

    This would include migration of projects from an on-prem platform to cloud setting.


    Principal Duties:

    Data Modeling:
    Design and implement data models that align with business requirements.
    Create and maintain schema objects such as databases, tables, views, and stored procedures in Snowflake.

    ETL (Extract, Transform, Load) Processes:


    Develop and implement ETL processes to extract data from various sources, transform it into the desired format, and load it into Snowflake.

    Utilize Snowflake's features like Snowpipe for real-time data loading.

    Integration with Other Systems:
    Integrate Snowflake with other data storage and processing systems, both on-premises and in the cloud.
    Implement data pipelines to move data seamlessly between systems.

    Performance Optimization:
    Optimize queries and data loading processes for performance.
    Tune and enhance data warehouse performance through indexing, partitioning, and clustering strategies.

    Security and Access Control:
    Implement and manage security measures, including role-based access control, encryption, and authentication in Snowflake.
    Ensure compliance with data security and privacy regulations.

    Monitoring and Troubleshooting:
    Set up monitoring tools and alerts to identify and address issues promptly.
    Troubleshoot data-related problems and optimize performance as needed.

    Documentation:
    Maintain documentation for data models, ETL processes, and system configurations.
    Create and update documentation to ensure that data engineering processes are well-documented and easily understandable.

    Collaboration with Data Analysts and Data Scientists:
    Collaborate with data analysts and data scientists to understand their requirements and provide the necessary data infrastructure and support.

    Data Governance:
    Implement data governance policies and procedures to ensure data quality, integrity, and consistency.
    Work towards maintaining data lineage and metadata management.

    Continuous Learning and Skill Development:
    Stay updated with the latest features and updates in Snowflake.
    Continuously improve skills in data engineering, cloud computing, and related technologies.

    *These essential functions are fundamental to the role, and must be performed on-site, as they cannot physically be performed remotely. In addition, the Company has determined that an in-person presence is important to critical components of our work, including oversight, training, collaboration, and productivity. Items not marked (*) as essential on-site, may still require partial on-site work to perform the role satisfactorily.

    Education and Experience

    Required education and experience. Examples below.

    Bachelor's Degree in an analytical or quantitative discipline.

    Three to Four years of experience as an analyst in a financial setting (a graduate degree may be considered in lieu of work experience).

    Knowledge, Skills, and Abilities

    Required knowledge, skills, and ability. Examples below.

    Strong business communication skills with an ability to work well in a collaborative environment.

    Strong attention to detail and an ability to multi-task, respond well to pressure and deadlines, and work well individually and in a collaborative environment.

    Strong skills in Excel, SQL, SnowFlake, SQL Server, Cloud platforms, Python, Snaplogic is a plus.
    Fast learner - able to assimilate new ideas and thrive in a fast-paced environment.
    Prior work experience performing business, data, and/or statistical analysis is a plus.


    While this description is intended to be an accurate reflection of the position's requirements, it in no way implies/states that these are the only job responsibilities.

    Management reserves the right to modify, add or remove duties and request other duties, as necessary.


    By applying to this position candidate acknowledges that this is not a remote role and is required to be on-site.

    #LI-MK1


    Company Perks :

    • 15 Paid Time Off (PTO) days and 18 after 1st anniversary
    • 9 Paid Holidays
    • Casual Workplace
    • Employee Engagement Activities

    Company Benefits :

    • Medical (including Health Savings Account & Flexible Savings Account)
    • Dental - RX - Vision - Life, Disability Insurance - 401(k) Plan with company match - Employee Assistance Plan
    • Performance-based Incentives
    • Pet Insurance
    • Advancement Opportunities
    Newrez


    NOW:

    • Our Corporate Social Responsibility program, Newrez NOW, empowers employees to become leaders in their communities through a robust program that includes volunteering, philanthropy, nonprofit grants, and more
    • 1 Volunteer Time Off (VTO) day, company-paid volunteer day where all eligible employees may participate in a volunteer event with a nonprofit of their choice

    Employee Matching Gifts Program:
    We will match monetary employee donations to eligible non-profit organizations, dollar-for-dollar, up to $1,000 per employee

    Newrez Grants Program:
    Newrez hosts a giving portal where we provide employees an abundance of resources to search for an opportunity to donate their time or monetary contributions

    Equal Employment Opportunity

    We're proud to be an equal opportunity employer- and celebrate our employees' differences, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and Veteran status.

    Different makes us better.

    CA Privacy Policy

    CA Notice at Collection
    #J-18808-Ljbffr

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