BI Developer

3 weeks ago


Greenville, United States Global Network Technologies Full time
Job DescriptionJob Description

Job Title: BI Developer

Location requirements/Schedule: This role is hybrid.

Location/s: : Greenville, SC Onsite/Hybrid possible

Start Date: ASAP

Bonus/Benefits: NO

Type of contract: C2C, W2, Contract to Hire W2

Duration: 12+ months to start

Visa: USC, GC

How many interviews: 2

Interview Process: Video

Important Skills: Azure, Databricks, PowerBI, PySpark

Must Haves: See JD

Certifications must have or nice to have: Nice to have.

Required

  • PERFECT COMMUNICATION - Don't submit candidates with a strong accent and mid-level communication skills.
  • 5+ years Business Intelligence Developer
  • Required: Power BI
  • Required: Azure Synapse Analytics, Azure Data Factory, Azure Analysis Services
  • Required: Databricks: create and manage notebooks, clusters, and jobs within Databricks, Apache Spark
  • Python/PySpark: data manipulation and analysis. executed on Spark clusters.

Your future duties and responsibilities

  • Transform raw data into relevant insights via interactive and simple-to-understand dashboards and reports.
  • Strong communication and collaboration skills to effectively engage with stakeholders at all levels of the organization
  • Create Calculated Columns and Measures in Power BI and Excel depending on the requirement using DAX queries.
  • Create and maintain Analysis services objects such as cubes, dimensions, measures.
  • Implement row level security on data and application security layer models in Power BI
  • Responsible for optimizing SQL queries, stored procedures to improve the performance time

Required qualifications to be successful in this role

  • Bachelor's degree in Computer Science, Information Systems, or a related field.
  • Proven experience (5+ years) as a Business Intelligence Developer, with a successful track record of building BI capabilities within an organization.
  • Intermediate to advanced (or you can say proven) experience with cloud-based BI platforms and technologies, particularly Azure services such as Azure Synapse Analytics, Azure Databricks, Azure Data Factory, and Azure Analysis Services.
  • Experienced with Azure Data Factory for data movement and orchestration.
  • Knowledge of working with Azure Blob Storage for storing unstructured data.
  • Experience with Databricks:
    • Proficiency in using Databricks, a managed platform for running Apache Spark.
    • Ability to create and manage notebooks, clusters, and jobs within Databricks.
  • Python (Preferably PySpark):
    • Strong Python skills, especially for data manipulation and analysis.
    • Ideally, experience with PySpark, which allows Python code to be executed on Spark clusters.
  • Strong knowledge of data modeling, data warehousing, ETL processes, and business intelligence concepts, particularly within the Azure ecosystem.
  • Experience in architecting and implementing end-to-end BI solutions on Azure, including data integration, modeling, and reporting/visualization tools.
  • Solid understanding of database management systems, data integration techniques, and data governance principles, with a focus on Azure services.
  • Data analysis, visualization, interpretation, and business intelligence skills.
  • Excellent analytical and problem-solving skills, with the ability to translate complex business requirements into scalable and robust technical solutions within the Azure environment.

Experience with Databricks:

  • Proficiency in using Databricks, a managed platform for running Apache Spark.
  • Ability to create and manage notebooks, clusters, and jobs within Databricks.
  • Python (Preferably PySpark):
    • Strong Python skills, especially for data manipulation and analysis.
    • Ideally, experience with PySpark, which allows Python code to be executed on Spark clusters.
  • Strong knowledge of data modeling, data warehousing, ETL processes, and business intelligence concepts, particularly within the Azure ecosystem.
  • Experience in architecting and implementing end-to-end BI solutions on Azure, including data integration, modeling, and reporting/visualization tools.
  • Solid understanding of database management systems, data integration techniques, and data governance principles, with a focus on Azure services.
  • Data analysis, visualization, interpretation, and business intelligence skills.
  • Excellent analytical and problem-solving skills, with the ability to translate complex business requirements into scalable and robust technical solutions within the Azure environment.



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