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  • Principal Data Engineer

    Insight Global (Seattle, WA)



    Apply Now

    Job Description

    We are seeking an expert in data modeling and reporting to optimize the analysis of customer data. In this role, you will focus on designing and enhancing reporting solutions using Databricks. You will be responsible for creating and managing data sets that integrate customer and product data, making it accessible for internal teams to query and analyze.

     

    This position contributes to the enterprise’s success by contributing to enterprise data

     

    services for analytic and operational data solutions focused on the Customer and

     

    Product domains.

     

    The candidate must demonstrate a proven track record in successfully

     

    implementing the design and optimization of a high-performance data store, for

     

    real-time, complex reporting on large-scale POS transactions, enabling dynamic,

     

    multi-dimensional queries by customer and product.

     

    This position is also responsible for contributing to the design and development of

     

    data pipelines supporting the Customer data store.

     

    We are looking for an expert-level candidate.

    Key responsibilities include:

    • Designing and optimizing data models to support reporting on customer and product data

    • Building and maintaining datasets that include key customer information, such as rewards program participation, ordering preferences, store location preferences, and geographic data

    • Ensuring data accuracy, consistency, and accessibility for internal teams to leverage in their analysis and decision-making

    • Collaborating with cross-functional teams to ensure data is structured and presented in a way that supports business objectives

    • Work with data engineering and technical product manager teams to

     

    develop the data model to support customer analytical and operational use

     

    cases.

     

    • Translate complex business logic into streamlined data models to support a variety of data consumers.

    • Design data models to scale and be extensible

    • Work with data engineering team to build and support non-interactive (batch, distributed) & real-time, highly available data, data pipeline and sources.

    • Develop and maintain documentation relating to all assigned systems and projects

     

    The ideal candidate will have strong expertise in Databricks and reporting, with the ability to work with complex data sets to deliver valuable insights for the organization.

     

    We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

     

    Skills and Requirements

     

    - 10+ years of data analysis

     

    - 7+ years SQL Platform

     

    - 7+ years PySpark

     

    - 4+ years Data modeling on Databricks

     

    - 3+ years parsing JSON into reusable data products

     

    - Strong reporting experience with Power BI, Tableau

     

    Experience using Azure preferred for data applications

     

    - Effective communication skills

     

    - Excel at problem solving

     

    - Strong working knowledge of SQL and No-SQL Platforms

     

    - Proficiency in debugging, troubleshooting, performance tuning and relevant

     

    tooling

     

    - Experience using one of the public cloud (AWS or Azure preferred) for data

     

    applications

     

    - Expert understanding of data design patterns and best practices

     

    - Proficiency in logging and monitoring tools, patterns & implementations

     

    Practice agile and DevOps - Experience in the financial trading world with high performance transaction

     

    - Experience from social media companies or other companies with lots of data

     


    Apply Now



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