Azure Data Engineer

We are seeking an experienced Azure Data Engineer to join our dynamic team in the financial services sector. The ideal candidate will have a strong background in data engineering, with expertise in cloud platforms such as AWS and Azure. As an Azure Data Engineer, you will be responsible for designing, implementing, and maintaining data pipelines and ETL processes that support our data analytics initiatives. Key Responsibilities: - Develop and maintain scalable data pipelines using Azure Data Factory and Databricks. - Collaborate with data scientists and analysts to understand data requirements and deliver high-quality data solutions. - Implement data storage solutions using Azure SQL and Azure Data Lake, ensuring data integrity and security. - Optimize ETL processes for performance and efficiency, troubleshooting any issues that arise. - Work closely with stakeholders in the banking and financial services sectors to ensure data solutions meet business needs. - Stay updated with the latest trends and technologies in data engineering and cloud computing. Required Skills: - Proven experience as a Data Engineer, with a focus on Azure technologies. - Strong knowledge of AWS and Azure cloud services. - Proficiency in Azure SQL, Azure Data Lake, and Databricks. - Experience with ETL processes and data pipeline development. - Familiarity with the financial services and banking industry is a plus. - Excellent problem-solving skills and the ability to work collaboratively in a team environment. If you are passionate about data engineering and looking to make an impact in the financial services industry, we encourage you to apply for this exciting opportunity.