Aktualne oferty pracy związane z Data Engineer for Business Data Solutions - Wrocław, Województwo dolnośląskie - XL CATLIN
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Specialist, Business Data Services – Data Operations
1 tydzień temu
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Big Data Solutions Architect
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Data Engineer AI
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Data Solutions Specialist
4 dni temu
Wrocław, Województwo dolnośląskie, Polska XL CATLIN Pełny etatJoin XL CATLIN's Business Data Services Team and Unlock New OpportunitiesJob OverviewWe are seeking an experienced Data Operations Specialist to join our Business Data Services team. In this role, you will support the development and maintenance of our data pipelines, collaborate with cross-functional teams to implement and enhance data load processes, and...
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Data Engineer @
2 tygodni temu
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4 dni temu
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Senior Data Engineer @
3 tygodni temu
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Remote Senior Data Engineer
2 tygodni temu
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Senior Data Engineer
3 godzin temu
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Data Engineer for Business Data Solutions
1 tydzień temu
This role is part of the Business Data Services team within Digital Data Dev Division and will be responsible for different aspects of Data Product development lifecycle activities, including but not limited to Data Production Support, business stakeholders engagement for usage & problem resolutions, quality engineering and platform/data product rollouts, performance stability & reliability.
Responsibilities:- Technical and Functional Support: Provide technical and functional support for PowerBI based solutions in Azure cloud-based production environment.
- Data Pipelines Maintenance: Maintain, operate, and enhance data pipelines for in-scope data platforms leveraging ETL and business understanding and concepts.
- Cross-Functional Collaboration: Collaborate with diverse, cross-functional teams spanning engineering, product, and reporting to implement and enhance data load processes across pivotal pipelines within the data platform.
- Daily Data Load Process Monitoring: Monitor daily data load process (ETL data pipeline) and work towards the resolution of any issue occurring during process run.
- Risk Analysis and Mitigation: Analyze and mitigate risks pertaining to data solution delivery timelines, quality, stability, and performance.
- Automation and Continuous Improvement: Identify and execute on opportunities (as prioritized) for automation and continuous improvement for in-scope products/projects/services across the Digital Data Dev division.
- Education: Minimum of an undergraduate university degree in computer science or related fields.
- Experience: Experience in providing production support for AI-based solutions/products.
- Skills: Experience with SQL, HIVE, ADLS, SQL DW Analytics, Databricks notebook; understanding of DataOps, AGILE methodologies; basic understanding of AI concepts, Python.
