Senior Data Engineer
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SeniorFull-time·B2B
#391360·Dodano miesiąc temu·1
Źródło: ExperisTech Stack / Keywords
AzureDatabricksAIAzure Data FactoryAzure SQLCloudPythonPySpark
Firma i stanowisko
Experis to światowy lider rekrutacji specjalistów i kadry zarządzającej w kluczowych obszarach IT.
Wymagania
- Minimum 5 years of experience in Data Engineering.
- Strong hands-on experience with Databricks, Azure Data Factory, Azure SQL Database, Azure Key Vault, Azure Synapse Analytics, and Informatica Intelligent Cloud Services (IICS).
- Advanced skills in Python, PySpark, and SQL.
- Experience with Azure DevOps and CI/CD pipelines.
- Knowledge of data modeling, API integrations, and enterprise data architecture.
- Experience working in Agile/Scrum environments.
- Strong analytical and problem-solving skills.
- Fluent English.
Obowiązki
- Design, develop, and maintain end-to-end data pipelines.
- Build data integration and transformation solutions using Azure technologies and Databricks.
- Create and maintain analytical datasets and data marts.
- Support reporting, analytics, and AI initiatives.
- Manage CI/CD processes and Azure DevOps environments.
- Collaborate closely with business stakeholders and cross-functional teams.
Benefity
- Private healthcare (Medicover)
- Multisport card
- Group life insurance
- Access to e-learning platforms
- International project environment
Opieka zdrowotna
Karta sportowa
Ubezpieczenie
Experis
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