Cloud Data Engineer Webellian
4 dni temu
Hard skills we are looking for:
- Improve and refine data ingestion and transformation pipelines (ETL/ELT).
- Proficiency in Python with focus on PySpark
- Excellence in SQL and relational databases
- Experience with Databrick, Azure Data Services is a plus
- Continuous integration, deployment, and delivery practitioner (GitHub knowledge)
- General understanding of Infrastructure, Orchestration and IT Security Principles (especially on an enterprise level)
Soft Skills
- Experience in Data Engineering
- Bachelor (BSc), Master (MSc) or equivalent experience in a technical field (for example, Computer Science, Engineering)
- Fluent English (written and spoken) is a must, other languages (e.g. German, French, Italian, etc.) are a plus
- DevOps mindset (you build it, you run it )
- Experience in insurance domain is a strong plus
- Capability of understanding complex requirements and breaking them down into actionable implementation tasks with attention to business logic
- Capability of result oriented communication with people from different departments with different skill sets
- Writing clear technical specifications
- Excellent verbal communication skills
- Leadership, autonomy and drive to grow and learn new technologies and tools
About the Webellian
Webellian is a well-established Digital Transformation and IT consulting company committed to creating a positive impact for our clients. We strive to make a meaningful difference in diverse sectors such as insurance, banking, healthcare, retail, and manufacturing. Our passion for cutting-edge and disruptive technologies, as well as our shared values and strong principles, are what motivate us. We are a community of engineers and senior advisors who work with our clients across industries, playing a deep and meaningful role in accelerating and realizing their vision and strategy.
About the position
We are looking for Cloud Data Engineer, to work on a project for one of our key customers in the insurance industry. You will work in hybrid mode with your teammates based in Poland and other stakeholders located worldwide and you will be in direct contact with business users of the solution.
,[Leverage a global data platform and enrich it with additional data capabilities, Design and implement the solutions for complete use case data pipelines: from data ingestion and storage, through data processing & implementation of business rules to data consumption (e.g. reporting), Define and apply best practices for development and maintenance of the platform, Keep up with trends and evolving technology in the big data and analytics world, Look for opportunities to improve performance, reliability and automation] Requirements: Python, SQL, ETL, Databricks Additionally: Free coffee, Playroom, Free snacks, Free beverages, Free parking, No dress code.-
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