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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and building data and analytics solutions using Microsoft Azure technologies, including Azure Data Factory and Azure Databricks. Proficient in SQL, Python, and PySpark for developing data pipelines and integration processes, with a strong focus on collaboration and problem-solving in client-facing environments.
Highest-signal resume keywords
Microsoft Azure Solutions DevelopmentAzure Data FactorySQL ProgrammingPython or PySparkAzure DevOps
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Pipeline DevelopmentETL/ELT ProcessesData Warehousing ConceptsAzure Synapse AnalyticsMicrosoft FabricInfrastructure-as-CodeBicepTerraformAzure DatabricksSQL
Soft Skills
Problem-SolvingCommunicationCollaboration
Tools & Technologies
Azure DevOpsAzure Data FactoryAzure DatabricksAzure Synapse AnalyticsMicrosoft Fabric
Industry Keywords
Data IntegrationAnalytics SolutionsClient-Facing ExperienceProfessional Services
Tech Stack
Tools & technologiesAzureETLPySparkPythonSQLTerraform
About the role
Key responsibilities & impact- Design and build data and analytics solutions using Microsoft Azure and Microsoft Fabric
- Develop data pipelines and integration processes using Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Fabric, and related technologies
- Write and maintain SQL, Python, and PySpark code for analytics, reporting, and business applications
- Work with project teams and clients to understand requirements and deliver effective solutions
- Contribute to solution design, testing, deployments, and troubleshooting throughout the project lifecycle
- Use Azure DevOps and Infrastructure-as-Code tools to support consistent deployments and environment management
- Share knowledge with teammates and stay current on Microsoft's data platform
Requirements
What you’ll need- 3-8+ years’ experience building data and analytics solutions using Microsoft Azure
- Hands-on experience with Azure Databricks, Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric, or similar technologies
- Strong SQL skills and experience with Python or PySpark
- Understanding of data integration, ETL/ELT processes, and data warehousing concepts
- Experience with source control, CI/CD, and Azure DevOps
- Familiarity with Infrastructure-as-Code tools such as Bicep or Terraform
- Strong problem-solving, communication, and collaboration skills
- Consulting, professional services, or client-facing project experience is a plus
Benefits
Comp & perks- Variety of projects across industries
- Opportunities to build expertise in Microsoft's data platform
- Collaboration with experienced consultants, architects, and engineers
- Knowledge sharing and mentorship
- Career growth opportunities