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Cloud Data Engineer – Azure, Fabric, Databricks
InvisoCloud Data Engineer responsible for modern Data & AI solutions on Microsoft Azure. Collaborating with clients and teams to develop production-ready data platforms and support analytics.
Tech Stack
Tools & technologiesAzureCloudETLPySparkPythonSQL
About the role
Key responsibilities & impact- Responsible for designing, building, and delivering modern Data & AI solutions on Microsoft Azure
- Work closely with clients and internal delivery teams to develop scalable, production-ready data platforms
- Contribute across the full project lifecycle including development, testing, deployment, optimization, and client collaboration
- Partner with solution architects, project teams, and customer stakeholders to implement modern lakehouse and data engineering patterns using Microsoft technologies
Requirements
What you’ll need- 3-5 years of experience designing, developing, and deploying Microsoft data platform solutions
- Experience with data pipelines using Microsoft Fabric, Azure Databricks, Azure Data Factory, or related Azure data services
- Proficiency in PySpark, SQL, Python, and modern ETL/ELT development patterns
- Experience with lakehouse architectures, medallion data models, and enterprise data engineering practices
- Experience with CI/CD deployment automation using Azure DevOps or GitHub
- Knowledge of Azure services including Azure Data Factory, Azure SQL, Azure Storage, Azure Data Lake Storage, and related services
- Experience with T-SQL development including stored procedures, views, and performance optimization
- Microsoft Cloud certifications (Fabric, Azure Data Engineer, or related)
- Bachelor's degree (or higher) in a related field
- Experience with AI/ML frameworks, analytics engineering, or modern AI workloads
Benefits
Comp & perks- $2,000 annual training allowance
- Paid time off
- Paid holidays
- Other benefits
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data platform solutionsdata pipelinesPySparkSQLPythonETL developmentCI/CD deployment automationT-SQLstored proceduresperformance optimization
Soft Skills
client collaborationteamworkcommunicationproblem-solvingproject management
Certifications
Microsoft Cloud certificationsAzure Data Engineer