Azure Data Engineer (ADF, Databricks & Python) for our banking client

6 years of experience in building data solutions using relevant technologies, with a focus on Azure data platforms and services.

Strong expertise in Azure data technologies such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Purview.

Proficiency in programming languages such as Python, PySpark, SQL, and familiarity with data manipulation libraries and frameworks.

Hands-on experience with data integration tools such as Apache Kafka, Informatica, or Talend.

Solid understanding of data warehouse concepts, data modeling techniques, and database management systems.

Experience in building data marts for retail banking, business banking, and risk businesses across various risk types (e.g., credit risk, market risk, operational risk) is a plus.

Certifications in Azure data technologies (e.g., Azure Data Engineer Associate, Azure AI Engineer Associate) are a plus.