Data Engineer (Azure)
Skills
C#Apache SparkApplied Behavior AnalysisBusiness IntelligenceConsumer TextilesData AnalyticsData Warehousing
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 2-5 years of hands-on experience in data warehouse or data engineering roles
- Practical production experience across Azure Synapse Microsoft Fabric and Azure Databricks
- Strong SQL plus Python and or scripting for transformation automation and tooling
- Proven experience building and optimizing ETL or ELT pipelines and data models
- Experience delivering within Agile Scrum teams
- Strong written and verbal communication skills
- Demonstrated initiative ownership and reliability in delivering production data solutions
Nice to have
- Healthcare data exposure
- ABA domain familiarity
- C# API integration experience
- AI tooling exposure
- Distributed team collaboration
Day to day
- Design and maintain scalable Lakehouse and warehouse solutions on Microsoft Fabric and Azure Synapse
- Build and optimize ETL/ELT pipelines data quality checks and reusable integration frameworks across diverse sources
- Support production workloads by monitoring incidents troubleshooting root causes tuning performance and improving reliability
- Collaborate with architects analysts and business stakeholders to translate requirements into secure documented data solutions