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    Data Engineer - Snowflake, United States - Vanco Payments LLC

    Vanco Payments LLC
    Vanco Payments LLC Snowflake, United States

    2 weeks ago

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    Description


    Vanco?is currently hiring a Data Engineer?to work on our Enterprise Data Management Team (EDM) that will contribute to our company growth and business needs.

    This role is a remote opportunity.

    The Team
    The Enterprise Data Management Team (EDM) is responsible for data integration, data warehousing, and data automations at Vanco.

    EDM is a new initiative within the Business Systems & Analytics team to build a future data warehouse model that can evolve as we grow.

    We use state of the art tools and technology to enable every team in the company to make data-driven decisions.

    We come from a variety of backgrounds, but our common ground is that we are curious, attentive to detail, and biased to action.

    We relentlessly pursue solutions and serve up our best data methods available for each project and challenge we face.?
    The Role

    As a Data Engineer you will utilize your knowledge of Integrations, Automations, Data Management, Data Modeling and more to advance Vanco's ability to benefit from our complex data environments.

    You will collaborate with the Business Intelligence team, Product Development teams, Cloud Operations teams and the Data Engineering team to curate a high-quality dataset to serve your research.

    You'll advise and assist in Data management tools, practices, and strategy.


    The Responsibilities:
    Transform raw source data from various sources into an analytics-ready data model. This model will be built on the premise of growth as the future data warehouse.

    Work closely with Business Intelligence, Data Engineering, cross-functional and Leadership teams to develop a warehouse using data modeling best practices.

    Managing Integrations with other internal systems to ensure data quality via Application calls or coding.
    Apply auditing, change-tracking and error handling on large datasets to ensure a robust data monitoring process.

    Monitor for data quality control issues that helps identify good vs bad data to implement in decisioning logic for data usage.

    Leverage Python and Application knowledge to interact and extract data from other applications.
    Handle day-to-day operational challenges, working with additional team members to maintain operation data processing. Leveraging the above items listed to monitor, manage, improve and review all relevant data.
    Contribute to improving the data engineering best practices and processes.
    Requirements

    We're looking for someone who has:
    Proficient in Structured Query Language (SQL) and experience with relational databases (RDBMS)
    Proficient in Python coding and experience working with Python in data engineering
    Proficient with Application Programming Interface (API) protocols
    Strong understanding of data engineering concepts and principles
    Understanding of cloud environments (i.e., Snowflake, AWS S3, Azure, etc.).
    Familiarity with complex data relationships and the data mapping process
    Experience using data migration tools (i.e., Stitch, Workato, Kafka, API callable, etc.)
    Experience with Salesforce data (reporting, data flows, integration requirements)
    Experience in Snowflake SQL (i.e., stored procedures, tasks, Snowpipe, etc.).
    Experience with financial data
    Understanding of data integration and ETL processes
    Familiarity of data architect methods (i.e., star schema, snowflake schema, type 2 dimensions, etc.)
    Ability to communicate and visualize complex quantitative analysis in a clear, precise, and actionable manner.
    Familiarity in data mapping, data modeling and data management
    Familiarity with Agile methodology
    Team Oriented, with the ability to work without heavy oversite.
    Write clear, concise, and accurate documentation.
    Ability to learn and adopt new tools and methods.

    #J-18808-Ljbffr
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