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- Develop robust data ingestion pipelines.
- Implement data transformation processes for analysis.
- Ensure seamless integration with Databricks Lakehouse.
- Implement security and compliance best practices.
- Collaborate on a scalable data lake architecture.
- Monitor and optimise data pipelines.
- Maintain thorough documentation.
- Plan for future scalability.
- Collaborate with cross-functional teams.
- Proficiency in Azure services (SQL Database, Data Lake Storage, Databricks, CosmosDB).
- Understanding of data modelling and governance principles.
- Experience with Python, Databricks, and ETL tools.
- Familiarity with Spark, Kafka, and Azure service integration.
- Skills in Power BI or Azure Data Explorer for visualisation.
- Knowledge of data security and compliance.
- Strong analytical and communication skills.
- Understanding of CI/CD practices.
- Familiarity with Azure Machine Learning and.NET is a plus.
- Competitive salary & Day rate (looking for one contractor and one permanent position)
- Excellent benefits package, including pension, holidays, and insurance.
- Flexible working arrangements.
Data Engineer - London, United Kingdom - Vallum Associates
Description
Job Description
My client is a leading TechFin company that is revolutionising finance through innovative technology solutions.
Role Overview: They are seeking a Data engineer to join our architecture team. You'll be pivotal in designing, developing, and maintaining a cutting-edge data lake on Azure with seamless integration with Databricks Lakehouse.
Responsibilities:
Required Skills:
Benefits: