Cloud Data Engineer Position for Insurance Industry
1 month ago
We are seeking a skilled Cloud Data Engineer to join our team at Webellian. As a key member of our project, you will work closely with clients in the insurance industry to design and implement data pipelines that drive business success.
About WebellianWebellian is a Digital Transformation and IT consulting company dedicated to making a positive impact on our clients. Our team of experts works across various sectors, including insurance, banking, healthcare, retail, and manufacturing, to accelerate and realize our clients' vision and strategy.
About the PositionThis role offers an exciting opportunity to work on a high-profile project for one of our key customers in the insurance industry. You will collaborate with teammates based in Poland and other stakeholders worldwide to deliver innovative solutions.
Key Responsibilities- Leverage a global data platform to enrich it with additional data capabilities.
- Design and implement solutions for complete use case data pipelines, from data ingestion and storage to data consumption.
- Define and apply best practices for development and maintenance of the platform.
- Stay up-to-date with trends and evolving technology in big data and analytics.
- Strong proficiency in Python, SQL, and ETL processes.
- Experience with Databricks and Azure Data Services is a plus.
- Knowledge of continuous integration, deployment, and delivery practices.
- General understanding of infrastructure, orchestration, and IT security principles.
- Bachelor's or Master's degree in a technical field (e.g., Computer Science, Engineering).
- Fluent English language skills (written and spoken) are essential.
- DevOps mindset and experience in data engineering are highly valued.
- Experience in the insurance domain is a significant advantage.
- A competitive salary range: $80,000 - $120,000 per year.
- Free coffee and snacks in the office.
- Playroom facilities for relaxation and entertainment.
- No dress code policy.
This position can be worked remotely, but occasional in-person meetings may be required.
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Data Engineering Specialist
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