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PowerBI Developer
PowerBI DeveloperBravoTech • Coppel, TX, US
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PowerBI Developer

PowerBI Developer

BravoTech • Coppel, TX, US
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The  Senior Power BI (with data engineering skillset)  will play a key role in designing, developing, and optimizing data models, metrics, and reports that drive data-informed decision-making across the organization. This role combines strong Power BI visualization expertise with advanced data engineering skills in Databricks, ensuring high-quality, scalable data products for both enterprise reporting and self-service analytics use cases.

LOGISTICS :

  • Candidate must physically work at Store Support Center, located in Coppell, TX; Monday – Thursday. Friday is WFH until further notice
  • If the candidate opts to relocate to the DFW area, relocation assistance will NOT be provided

THE ESSENTIALS :

  • Design, develop, and maintain interactive Power BI dashboards and reports for various business domains (finance, operations, marketing, etc.).
  • Power BI / Fabric Reporting & Visualization
  • Leveraged Microsoft Fabric for end-to-end data architecture — integrating Lakehouse, Data Flows, and Direct Lake models to power advanced Power BI analytics.
  • Create semantic models and DAX measures that are intuitive and optimized for performance.
  • Collaborate with business users to translate requirements into visual insights and define KPI frameworks.
  • Implement row-level security (RLS) and governance standards within Power BI workspace environments.
  • Support self-service BI adoption by developing certified datasets and user-friendly data models.
  • Design and build data pipelines and curated layers (Bronze, Silver, Gold) within Databricks using Unity Catalog, PySpark / SQL / Delta Lake.
  • Develop metric layers and data marts in Databricks to support Power BI and other analytical tools.
  • Ensure data quality, consistency, and accuracy through robust data validation and monitoring processes.
  • Implement performance tuning and cost optimization best practices for Databricks jobs and clusters.
  • Collaborate with the data governance and architecture teams to align data models with enterprise standards.
  • Develop and maintain automated testing frameworks for data validation using Python, PySpark, or Databricks notebooks.
  • Integrate automated tests into CI / CD pipelines (Azure DevOps, GitHub Actions, etc.).
  • Build reusable data validation scripts leveraging Databricks and other data testing tools.
  • Work closely with data engineers, data modelers, BI developers, and governance teams to define testing standards.
  • Participate in code reviews and data quality reviews to ensure compliance with QA standards.
  • Document test cases, results, and maintain traceability between business requirements and validation outcomes.
  • Partner with business analysts, product owners, and stakeholders to identify new reporting opportunities.
  • Work closely with data governance, QA, and DevOps teams to ensure compliant, secure, and automated delivery.
  • Provide technical leadership and mentorship to junior engineers on best practices for BI and data engineering.
  • Support the development of metadata-driven frameworks and data catalogs to enable discoverability and reusability.

    • SCOPE :

  • Strong expertise in  Power BI development .
  • Hands-on experience working with cloud platforms (AWS, Azure, or Google Cloud).
  • Experience with  CI / CD tools  like  Azure DevOps ,  GitHub Actions , or  Terraform  for infrastructure-as-code.
  • Familiarity with data modeling, data warehousing, and database design.
  • Strong understanding of data formats such as  Parquet ,  ORC ,  JSON , and  Avro .
  • Ability to work in an agile environment and adapt to changing requirements.
  • Strong analytical and problem-solving skills with a focus on optimizing data engineering solutions.
  • Study, analyze and understand business requirements in context to business intelligence.
  • Spot key performance indicators with apt objectives
  • Make essential technical and strategic changes to improvise present business intelligence systems
  • SQL querying for better results

    • CREDENTIALS :

  • Bachelor’s or master’s degree in computer science, Information Systems, or a related field.
  • 8+ years of experience in data engineering and BI development.

    • Strong hands-on experience with :

  • Databricks (PySpark, Delta Lake, SQL)
  • Power BI (DAX, Power Query, Data Modeling)
  • Azure Data Services (Data Lake, Synapse, ADF preferred)
  • Proven ability to develop and maintain metric frameworks for enterprise reporting.
  • Experience implementing CI / CD pipelines for Power BI and Databricks deployments (nice to have).
  • Strong understanding of data modeling, ETL design, and data architecture principles.
  • Excellent analytical thinking, problem-solving, and stakeholder communication skills.
  • Creation of a reusable, well-governed metric layer in Databricks for enterprise use.
  • Improved data reliability, transparency, and self-service enablement across teams.

    • THE GOODS :

  • Minimum 8 years of experience of working on Data platforms.
  • Strong SQL skills for data validation and test case development.
  • Hands-on experience with Databricks, Spark, and Delta Lake environments.
  • Experience testing data pipelines and transformations in Azure or cloud-based data platforms.
  • Knowledge about database management, SQL querying, data modeling, and Online Analytical Processing.
  • Additional consideration given for experience scripting and programming language such as Python
  • Ability to mentor junior team members and contribute to technical leadership
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