RQ11487 Software Developer ETL Senior

Responsibilities:

• Analyze data and design semantic models
  
• Transform raw data into silver/gold data for reporting consumption.
  
• Design develop and release deploy Power BI reports and dashboards meeting KPIs including accuracy reliability and performance.
  
• Review business requirements (and related materials) to use as input for design/development of reports
  
• Design technical systems specifications to translate into working tested applications. This includes developing detailed programming specifications writing and/or generating code compiling data-driven programs maintaining and conducting unit tests.
  
• Resolves and troubleshoots technical problems which arise during the use and operation of software packages including technical assistance in implementation conversion and migrations.
  
• Provide specialized skills for developing data access queries
  
• Works in conjunction with data analysts for developing dashboards and other end user reporting products
  
• Supports Clients wide-ranging business information requirements implementing and supporting OLAP analytical software solutions
  
• Develops and supports customized query applications which analyze key business data
  

Requirements

Experience and Skill Set Requirements:

Must Haves:

• 6 years experience as Azure technologies including
  
• Azure Databricks
  
• Azure DataLake Gen 2.
  
• Power BI development and semantic modeling
  
• Azure DevOps CI/CD
  
• PySpark
  
• Microsoft Fabric
  
• Star Schema or Snowflake data modeling experience
  

• Orchestration & Ingestion:
  
• Proficiency using Data Factory within Fabric to build complex scalable data pipelines.
  

• Business Intelligence:
  
• Designing efficient Direct Lake semantic models in Power BI using Silver/Gold layer models to ensure high-speed reporting directly from OneLake.
  
• Use of semantic models to design and develop Power BI reports and dashboards. Develop operational and analytical PowerBI reports/paginated reports.
  

Skill Set Requirements:

Mandatory Skills and Experience:

• 6 years experience as Azure technologies including
  
• Azure Databricks
  
• Azure DataLake Gen 2.
  
• Power BI development and semantic modeling
  
• Azure DevOps CI/CD
  
• PySpark
  
• Microsoft Fabric
  
• Star Schema or Snowflake data modeling experience
  

• Orchestration & Ingestion:
  
• Proficiency using Data Factory within Fabric to build complex scalable data pipelines.
  

• Business Intelligence:
  
• Designing efficient Direct Lake semantic models in Power BI using Silver/Gold layer models to ensure high-speed reporting directly from OneLake.
  
• Use of semantic models to design and develop Power BI reports and dashboards. Develop operational and analytical PowerBI reports/paginated reports.
  

Desirable Skills and Experience:

• Experience in Azure Data Factory (ADF) v2
  
• Data Architecture & Engineering: Competency in building Lakehouses and Warehouses writing optimized PySpark or SQL pipelines and implementing Medallion architecture (Bronze/Silver/Gold layers).
  
• Data Governance: Data security (row-level/column-level) and data lineage tracking.
  

Required Skills:

Experience and Skill Set Requirements: Must Haves: 6 years experience as Azure technologies including Azure Databricks Azure DataLake Gen 2. Power BI development and semantic modeling Azure DevOps CI/CD PySpark Microsoft Fabric Star Schema or Snowflake data modeling experience Orchestration & Ingestion: Proficiency using Data Factory within Fabric to build complex scalable data pipelines. Business Intelligence: Designing efficient Direct Lake semantic models in Power BI using Silver/Gold layer models to ensure high-speed reporting directly from OneLake. Use of semantic models to design and develop Power BI reports and dashboards. Develop operational and analytical PowerBI reports/paginated reports. Skill Set Requirements: Mandatory Skills and Experience: 6 years experience as Azure technologies including Azure Databricks Azure DataLake Gen 2. Power BI development and semantic modeling Azure DevOps CI/CD PySpark Microsoft Fabric Star Schema or Snowflake data modeling experience Orchestration & Ingestion: Proficiency using Data Factory within Fabric to build complex scalable data pipelines. Business Intelligence: Designing efficient Direct Lake semantic models in Power BI using Silver/Gold layer models to ensure high-speed reporting directly from OneLake. Use of semantic models to design and develop Power BI reports and dashboards. Develop operational and analytical PowerBI reports/paginated reports. Desirable Skills and Experience: Experience in Azure Data Factory (ADF) v2 Data Architecture & Engineering: Competency in building Lakehouses and Warehouses writing optimized PySpark or SQL pipelines and implementing Medallion architecture (Bronze/Silver/Gold layers). Data Governance: Data security (row-level/column-level) and data lineage tracking.