BI Developer

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 Dont submit candidates with a strong accent and midlevel 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 simpletounderstand 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

• Bachelors 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 cloudbased 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 endtoend 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 problemsolving 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 endtoend 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 problemsolving skills with the ability to translate complex business requirements into scalable and robust technical solutions within the Azure environment.