Data Engineer (Azure Data Factory)

Data Engineer (Azure Data Factory)

Addepto

Hexjobs Insights

Data Engineer focusing on Azure Data Factory, responsible for pipeline design, development, and optimization. Requires strong Azure, Python, and SQL skills. Benefits include healthcare, training, and flexible hours.

Schlüsselwörter

Azure Data Factory
Python
SQL
CI/CD
Azure DevOps
Power BI
data modeling
ETL
ELT
dbt

Vorteile

  • Reimbursement for prescription glasses or contact lenses
  • sharing the costs of sports activities
  • private medical care
  • foreign language classes
  • professional training & courses
  • remote work opportunities
  • flexible working time
  • integration events
  • no dress code

Anforderungen

Strong hands-on experience with Azure Data Factory (must-have), including: pipeline and orchestration design, linked services, datasets, triggers, and parameterization, operational monitoring, troubleshooting, and performance tuning, and deployment-aware ADF development in enterprise environments., Excellent knowledge of Python (Azure Functions, REST APIs, automation)., Strong SQL skills and solid understanding of data modeling for ETL/ELT and warehouse workloads., Experience with CI/CD processes in Azure DevOps (pipelines, releases, multi-environment deployments)., Solid understanding of Azure services and cloud-based data solutions (e.g., Azure SQL Database, Azure Key Vault)., Experience with Power BI for occasional dashboarding and reporting., Experience working with modern development practices and tools., Consulting mindset with proactive communication and strong stakeholder alignment skills., Ability to effectively collaborate with Product Owner and Architect during planning and delivery., Independent and responsible approach to delivering high-quality solutions., Excellent command of English (at least C1 level)., Knowledge of dbt., Experience implementing data warehouses on Azure.

Vorteile

Reimbursement for prescription glasses or contact lenses, sharing the costs of sports activities, private medical care, sharing the costs of foreign language classes, sharing the costs of professional training & courses, remote work opportunities, flexible working time, fruits, integration events, no dress code, video games at work, coffee / tea, drinks, christmas gifts, birthday celebration, employee referral program

Aufrufe: 3
Veröffentlichtvor 18 Tagen
Läuft abin 12 Tagen

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