Jobs

    Data Engineer - Texas, United States - Russell Tobin

    Russell Tobin
    Russell Tobin Texas, United States

    2 weeks ago

    Russell Tobin background
    Description

    Position: Data Engineer

    Location: Remote

    Contract: 6 Months (Extension Likely) W2

    Pay: $50-$57/HR (DOE)

    Duties:

    • Data Asset Inventory and Assessment
    • Inventory of existing data assets; tables, dashboards, and pipelines
    • Follow requirements to pull required data to measure the current state of these assets, set up usage metrics for internal and external stakeholders.
    • Table Metadata to improve documentation coverage for tables, including table descriptions, column definitions, and data lineage.
    • Implement a centralized metadata management system to maintain and access asset documentation.
    • Ensure that all existing and new data assets are properly documented according to established standards.
    • Pipeline Clean-up and Consolidation
    • Consolidate and streamline pipelines by eliminating redundancies and unnecessary elements according to the set of provided rules.
    • Clean up and restructure data tables, ensuring consistent naming conventions, data types, and schema definitions.
    • Retire or archive obsolete dashboards and workflows.
    • Implement monitoring and alerting mechanisms for critical workflows to ensure timely issue detection and resolution.
    • Set up a foundation for scalable Data Model for the Stock Business - Implement and build performant data models to solve common analytics use-
    • Knowledge Transfer and Documentation
    • Thoroughly document the work performed, including methodologies, decisions, and any scripts or tools developed.
    • Provide comprehensive knowledge transfer to the data team, ensuring a smooth transition and the ability to maintain the optimized data environment.

    Skills:

    • Proven experience in data engineering and data asset management.
    • Proficiency in SQL, Python, and other relevant data processing languages and tools.
    • Expertise in data modeling, ETL processes, and workflow orchestration (e.g., Airflow, Databricks).
    • Strong analytical and problem-solving skills.
    • Excellent communication and documentation abilities.
    • Familiarity with cloud data platforms (e.g., Azure, AWS, GCP) is a plus.

    Pride Global offers eligible employee's comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors.


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