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Data Engineer

TechDigital

  • San Jose, CA
  • 8 days ago

    Highlights

    As a Business Intelligence Developer on the DCData team, you will be a key player in transforming raw data into actionable insights that inform critical business decisions for our data center operations. Create intuitive and compelling data visualizations using BI tools like Looker, Tableau, or Power BI to help stakeholders quickly grasp complex data trends.

    Numbers & Facts

    LocationSan Jose, CA
    IndustryOther/Not Classified
    Company Size100 to 499 employees

    Description

    Mandatory Skills: SQL proficiency is required. Python and Tableau are beneficial.

    Data Engg (Strong SQL, Python, Tableau, Power BI)
    As a Business Intelligence Developer on the DCData team, you will be a key player in transforming raw data into actionable insights that inform critical business decisions for our data center operations. You will design, develop, and maintain BI solutions that provide clear and reliable data to leadership and stakeholders.

    Responsibilities:
    • Design, develop, and maintain end-to-end business intelligence solutions, including data models, pipelines, and interactive dashboards.
    • Partner with cross-functional teams, including engineers, product managers, and operations leaders, to understand business needs and translate them into technical requirements.
    • Write and optimize complex SQL queries to extract, transform, and load (ETL) data from various data sources into our data warehouse.
    • Develop and automate key performance indicator (KPI) frameworks and reports that track the performance and efficiency of data center operations.
    • Create intuitive and compelling data visualizations using BI tools like Looker, Tableau, or Power BI to help stakeholders quickly grasp complex data trends.
    • Ensure the integrity, accuracy, and security of data, and proactively troubleshoot any data-related issues.
    • Proactively identify opportunities to improve data collection, reporting processes, and overall data infrastructure.

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