Senior Cloud Data Engineer
1 month ago
Key Responsibilities:
- Design and implement data pipelines using PySpark and SQL.
- Manage infrastructure in AWS, including S3, Docker, and Kubernetes.
- Work with Databricks, Unity Catalog, Workflows, jobs, and data visualization in notebooks.
- Implement CI/CD solutions using CircleCI.
Requirements:
- 5+ years of experience as a Data Engineer.
- Proficient in Databricks, Python, PySpark, SQL, ETL, AWS, AWS S3, Docker, Azure, and Infrastructure as Code.
- Knowledge of Kafka, RDBMS, and Machine Learning.
Additional Benefits:
- Private healthcare.
- Multi-sport benefits.
- Dedicated mentorship.
We are seeking an experienced Senior Cloud Data Engineer to join our project for a client based in the United Kingdom. The ideal candidate will have a strong command of English and experience working with large data volumes.
Team Information:
- The project is carried out for a client from the UK, and the team consists of 3 Data Engineers and a technical leader.
- Work with technology stack: Kafka, Postgres, Medallion Architecture, PySpark, SQL, Kedro, Airbyte.
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