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American Fork

    Sr. Data Engineer - American Fork, United States - LiveView Technologies

    LiveView Technologies
    LiveView Technologies American Fork, United States

    4 weeks ago

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    Description
    Why


    LVT:


    LVT (LiveView Technologies) is making the world a safer place, and we need your help Based in Utah, LVT is the world's leader in physical security platforms and data.

    With our systems in every state and working with Fortune 500 enterprise companies, we're positioned for vast expansion in the years to come.

    While we were founded nearly 20 years ago, we stay true to our roots of innovation, which has led to our consistent scaling of a rate of 100% year-over-year in the last 6 years.

    If you are looking for a market-leading organization with untapped potential, look no further than LVT.

    We've been very intentional about our growth and profitability, which has driven our massive growth trajectory. We need self-motivated, innovative go-getters at every level to keep up with the explosive demand.

    At LVT, we provide a fulfilling career that allows you to live your best life at work and at home.

    We provide the culture to work smart and have fun while giving you the flexibility needed for yourself and your loved ones.


    About the Role:
    We are seeking a Senior Data Engineer to join our Enterprise Data team. The ideal candidate will be technically proficient with a strong emphasis on collaboration, communication, and work ethic.

    This role involves working closely with business stakeholders to gather and identify data project requirements, as well as implementing solutions to support business analytics through data warehouse development, API data extraction, and data pipeline creation.


    Key Requirements/Responsibilities:
    Expertise in SQL for data manipulation and analysis.
    Experience building data warehouses for business analytics purposes.
    Proficiency in extracting data from APIs using Python.
    Demonstrated experience in collaborating with business stakeholders to gather and identify data project requirements.
    Experience with CI/CD tools and Git for version control.4-5 years of experience as a data engineer or equivalent.
    Participate in the development of best practices and tools based on business needs.
    Ensure data and assets are classified appropriately.
    Support delivery of information in accordance with Data Governance standards and data management practices.
    Demonstrate data analytical skills in understanding and correcting data discrepancies, identifying data anomalies, and root cause analysis.

    Experience implementing end-to-end data management activities, from foundational activities like data governance, data quality, and metadata management, to value-deliverables like data warehousing & BI, data science and analytics, and data-driven applications.

    Experience with data integration, including ETL methodologies, CDC, batch and continuous processing between source systems and data buses and/or data warehouses.

    Competent data modeling in both logical and physical data models (OLAP/Dimensional, OLTP/Relational), including understanding and implementation.


    Preferred Skills:


    Experience with dbt for building data pipelines (experience with is even better).Familiarity with building data marts used by BI tools.

    Experience managing a Snowflake account.
    Competent data modeling skills, particularly in the Kimball method.
    Familiarity with AWS services.
    Degree in computer science or mathematics, or similar.


    Personality Traits:
    Ability to voice opinions constructively and collaborate effectively.
    Acceptance of decisions and commitment to move forward as a team.
    Strong work ethic and commitment to team success.

    Benefits

    Flexible Time Off, Paid Holidays, 401(K), Equity, Health, Vision, Dental, Voluntary Life Insurance, Wellness Program and best of all working with awesome people - ask about that when you speak with us

    HR Policy

    We're an equal opportunity employer.

    All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

    All Candidates must pass a drug screening and background check upon employment. Must be authorized to work in the U.S.
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