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Enterprise Data Warehouse ETL/Data Engineer
CSpringSenior Azure Data Engineer designing and supporting enterprise data platforms on Azure for CSpring. Collaborating with architects and stakeholders to deliver high-performing cloud data solutions.
Tech Stack
Tools & technologiesAzureCloudPySparkPythonSparkSQLVault
About the role
Key responsibilities & impact- Design and develop reusable, parameter-driven ingestion and transformation pipelines
- Build and maintain medallion architecture solutions
- Develop performant ELT workflows
- Create and optimize PySpark notebooks and distributed processing jobs
- Design dimensional data models
- Implement data vault patterns
- Optimize distributed SQL workloads
- Implement CI/CD processes
- Build monitoring, logging, and auditing solutions
- Lead or contribute to cloud modernization initiatives
Requirements
What you’ll need- Deep hands-on expertise with Azure Data Factory
- Strong experience with Azure Databricks and PySpark
- Production experience with Azure Synapse Analytics
- Strong understanding of Azure Data Lake Storage Gen2
- Experience with Azure Key Vault and Azure AD / Entra ID
- Experience monitoring and troubleshooting data solutions
- Advanced SQL skills
- Strong Python skills
- Proficiency with T-SQL and familiarity with Spark SQL
Benefits
Comp & perks- Health insurance
- Professional development opportunities
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
PySparkSQLT-SQLSpark SQLAzure Data FactoryAzure DatabricksAzure Synapse AnalyticsAzure Data Lake Storage Gen2PythonCI/CD
Soft Skills
leadershipcommunication