Azure Data Engineer
Ccube
full-time
Posted on:
Location Type: Hybrid
Location: Indore • India
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About the role
- Design and implement end-to-end data pipelines for on-prem to Azure cloud migration
- Build metadata-driven ingestion and transformation pipelines using Azure Data Factory
- Develop and optimize data processing using Azure Databricks, Delta Lake, Spark SQL, PySpark, and Scala
- Create and optimize Azure Synapse stored procedures and analytical models for reporting
- Enable data consumption for Power BI dashboards
- Manage CI/CD deployments using Azure DevOps
- Lead requirement gathering, data modeling, sprint planning, and timely project delivery
Requirements
- 5+ Years of experience
- Design and implement end-to-end data pipelines for on-prem to Azure cloud migration
- Build metadata-driven ingestion and transformation pipelines using Azure Data Factory
- Develop and optimize data processing using Azure Databricks, Delta Lake, Spark SQL, PySpark, and Scala
- Create and optimize Azure Synapse stored procedures and analytical models for reporting
- Enable data consumption for Power BI dashboards
- Manage CI/CD deployments using Azure DevOps
- Lead requirement gathering, data modeling, sprint planning, and timely project delivery
Benefits
- Startup culture with opportunity to grow
- Performance bonuses
- Company stock options
- Health, dental and vision insurance plans
- Pursue growth and learning with career development expenses
- Volunteer and support education for kids & skills development for adults
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data pipelinesdata processingmetadata-driven ingestiontransformation pipelinesstored proceduresanalytical modelsdata modelingCI/CD deploymentssprint planningreporting
Soft Skills
requirement gatheringproject deliveryleadership