Senior Data Engineer-Contractor
Daily tasks
Development of new functionality in the Python-based ETL pipeline
Maintenance and optimalization of the existing pipelines in Python and Azure Data Factory
Plan capacity and sizing of the service components, proactive cloud component management
Initiating planning and set up of new service components
Coordinate the operations and maintenance of related software, complex server infrastructure and databases (Synapse, PowerBI, Local development)
Maintain service related documentation according with Allianz Technology standards
Monitoring and SLA Management
Document, maintain and optimize processes and configurations related to the environments
Coordinate with various stakeholders in development, architecture, rollout and operations teams as well as with customers for releases/upgrades/changes
Manage and support service related risk assessments and audits
Professional requirements
Preferably at least 5 years’ experience in data engineering
At least 2 years’ experience with data oriented Python (Polars, Pandas, Pyspark, …)
At least 1 years’ experience with Microsoft Azure
Solid understanding of cloud architecture
ITIL
Experience with software as a service concept
Strong analytical skills
Organizing abilities
Strong customer focus
Can rapidly adapt and respond to changes in environment and priorities
Advanced English is a must
Excellent communication skills with high customer focus
Desirable Skills:
Experience with Synapse, Delta Lake and/or PowerBI
Experience in Bl Projects
Familiar with DevOps processes
Familiar with DataVault 2. 0
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
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