Microsoft Fabric Expert

• Microsoft Fabric Expertise:
• Leverage Microsoft Fabric capabilities to integrate data engineering data science and BI processes into a unified platform. Provide guidance on adopting Fabric for end-to-end data workflows including Data Pipelines Real-Time Analytics and Lakehouses.
• Provide guidance on adopting Fabric for end-to-end data workflows including Data Pipelines Real-Time Analytics and Lakehouses.
• Collaboration and Leadership: Collaborate with cross-functional teams to understand business requirements and translate them into technical
  solutions

• Python Expertise:

• Develop robust and scalable Python applications and scripts with a focus on performance optimization. Proficiency in Python programming language and its standard libraries.
• Strong understanding of RESTful APIs and experience in integrating them into Python applications.
• Strong experience with pandas, numpy, and data manipulation techniques.
• Create scripts to establish connections with relational databases (RDBMS) and execute SQL queries.

• Hands-on experience with relational databases such as Sql Server,MySQL, PostgreSQL, or Oracle, including writing SQL and PL/SQL queries.
• Proficiency in working with complex JSON structures and performing data.
• Business Intelligence Solutions:
  Develop and maintain BI dashboards and reports using tools like Power BI.

• Regular Tasks Required:

• Build and maintain MS Fabric data import, standardization, and governance procedures.
• Write effective Python code to tackle complex issues, but also use your business sense and analytical abilities to glean valuable insights from public databases
• Communicate clearly with team and help the organization in realizing its objectives
• Clearly express the reasoning and logic when writing code
• Fix bugs in the code and create thorough documentation
• Utilize your data analysis skills to develop and respond to important business queries using available datasets
• Effectively communicate with the team to comprehend the needs and provide the results

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

• Microsoft Fabric Expertise:
• Leverage Microsoft Fabric capabilities to integrate data engineering data science and BI processes into a unified platform. Provide guidance on adopting Fabric for end-to-end data workflows including Data Pipelines Real-Time Analytics and Lakehouses.
• Provide guidance on adopting Fabric for end-to-end data workflows including Data Pipelines Real-Time Analytics and Lakehouses.
• Collaboration and Leadership: Collaborate with cross-functional teams to understand business requirements and translate them into technical
  solutions

• Python Expertise:

• Develop robust and scalable Python applications and scripts with a focus on performance optimization. Proficiency in Python programming language and its standard libraries.
• Strong understanding of RESTful APIs and experience in integrating them into Python applications.
• Strong experience with pandas, numpy, and data manipulation techniques.
• Create scripts to establish connections with relational databases (RDBMS) and execute SQL queries.

• Hands-on experience with relational databases such as Sql Server,MySQL, PostgreSQL, or Oracle, including writing SQL and PL/SQL queries.
• Proficiency in working with complex JSON structures and performing data.
• Business Intelligence Solutions:
  Develop and maintain BI dashboards and reports using tools like Power BI.

• Regular Tasks Required:

• Build and maintain MS Fabric data import, standardization, and governance procedures.
• Write effective Python code to tackle complex issues, but also use your business sense and analytical abilities to glean valuable insights from public databases
• Communicate clearly with team and help the organization in realizing its objectives
• Clearly express the reasoning and logic when writing code
• Fix bugs in the code and create thorough documentation
• Utilize your data analysis skills to develop and respond to important business queries using available datasets
• Effectively communicate with the team to comprehend the needs and provide the results

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.