Azure Data Engineer with strong Spark

The Dignify Solutions, LLC; Bellevue (WA); On-site; USD 80,000 - 110,000; Full time

Job summary

A leading IT consulting firm in Bellevue, Washington, is seeking a data engineering professional experienced in Spark and Azure. The role involves building automated reports and dashboards using Power BI, shaping data into meaningful insights, and developing visual reports. Ideal candidates should have mid-senior level experience and proficiency in the MS SQL Server BI Stack.

Qualifications

• Experience in Data Engineering primarily on Spark and Azure.
• Strong knowledge of reporting tools like Power BI and MS SQL Server BI Stack.

Responsibilities

• Build automated reports and dashboards with Power BI.
• Design data models to convert raw data into insights.
• Run DAX queries in Power BI and develop visual reports.

Skills

Spark

Azure DevOps (CI/CD & Infrastructure as Code)

ADF

ADW

Power BI

Job description

Responsibilities

• Data Engineering experience primarily on Spark. Experience on Azure cloud with knowledge of Azure DevOps (CI/CD & Infrastructure as Code), ADF, ADW, and Power BI. Apache NiFi is a plus.
• Power BI: Understand business requirements to set functional specifications for reporting applications; Build automated reports and dashboards with the Power BI reporting tool.
• Be experienced in the MS SQL Server BI Stack, including SSRS and T-SQL, Power Query, MDX, PowerBI, and DAX.
• Be able to quickly shape data into reporting and analytics solutions. Create functional reporting; study, analyze and understand business requirements in the context of business intelligence.
• Design and map data models to shift raw data into meaningful insights. Utilize Power BI to build interactive dashboards and reports; spot key performance indicators with apt objectives.
• Run DAX queries and functions in Power BI; should have an edge over making DAX queries in Power BI Desktop. Develop visual reports, KPI scorecards, and dashboards using Power BI Desktop. Connect data sources, import data, and transform data for business intelligence.

Required Skills

• Spark
• Azure DevOps (CI/CD & Infrastructure as Code)
• ADF
• ADW
• Power BI

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Other

Industries

• IT Services and IT Consulting