Cloud Data Engineer for Global Insurance Platform
4 weeks ago
We are seeking an experienced Cloud Data Engineer to join our team at Webellian. In this role, you will play a critical part in designing and implementing a global data platform for one of our key insurance clients.
About the Project
The successful candidate will be responsible for leveraging a cloud-based data platform, enriching it with additional data capabilities, and developing solutions for complete use case data pipelines. This includes data ingestion and storage, processing, implementation of business rules, and data consumption (e.g., reporting).
Key Responsibilities
- Leverage a cloud-based data platform and enhance its functionality with additional data capabilities.
- Design and implement end-to-end data pipeline solutions for various use cases.
- Define and apply best practices for development and maintenance of the platform.
- Stay up-to-date with emerging trends and technologies in big data and analytics.
- Identify opportunities to improve performance, reliability, and automation of the platform.
Requirements
- Proficiency in Python programming language.
- Strong understanding of SQL and relational databases.
- Experience with ETL/ELT processes and tools.
- Familiarity with Databricks and Azure Data Services is a plus.
- Knowledge of continuous integration, deployment, and delivery practices (GitHub).
- Understanding of infrastructure, orchestration, and IT security principles.
Desired Qualifications
- Bachelor's or Master's degree in a technical field (Computer Science, Engineering, etc.).
- Fluent English communication skills (written and spoken) are essential.
- Prior experience in data engineering and the insurance domain is highly valued.
- A DevOps mindset, leadership skills, and a drive to learn new technologies are important qualities for this role.
What We Offer
- A competitive salary of approximately $120,000 per year, based on industry standards and location.
- A dynamic work environment with a team of experienced professionals.
- The opportunity to work on challenging projects and develop your skills in cloud data engineering.
- A range of benefits, including free coffee, a playroom, free snacks, and free parking.
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