
Azure Data Engineer
1 day ago
About the Role:
We are looking for a skilled Data Engineer with strong experience in Azure and Databricks to join our data team supporting initiatives in the Banking and Financial Services sector. The ideal candidate will have a deep understanding of modern data engineering practices and a proven track record of delivering robust, scalable data pipelines in a regulated environment.
Key Responsibilities:
- Design, develop, and maintain scalable data pipelines using Azure and Databricks
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements
- Optimize and manage data workflows to support real-time and batch data processing
- Ensure data quality, governance, and security best practices are implemented
- Monitor and troubleshoot data pipeline performance and issues
- Contribute to architectural decisions and best practices within the data engineering team
Qualifications:
- Minimum of 5 years' experience in Data Engineering or related roles
- Strong hands-on experience with Azure Data Services (e.g., Azure Data Factory, Azure Synapse, Azure Data Lake)
- Proven experience with Databricks (Spark, Delta Lake)
- Background in the Banking or Financial Services industry is required
- Proficiency in Python, SQL, and version control (e.g., Git)
- Strong understanding of data architecture, ETL/ELT processes, and data warehousing concepts
- Familiarity with data governance, compliance, and security protocols in financial institutions
Nice to Have:
- Experience with CI/CD in a data engineering context
- Exposure to ML Ops or supporting data science workflows
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