Data Engineer

We are seeking a skilled Data Engineer to join our dynamic team in the financial services sector. The ideal candidate will have a strong background in data engineering and be proficient in various cloud technologies. As a Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines that support our analytics and reporting needs. You will work closely with data scientists and analysts to ensure that data is accessible and usable for decision-making processes.

Key Responsibilities:

• Develop and maintain ETL processes to extract, transform, and load data from various sources into data lakes and warehouses.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
• Implement data models and structures that optimize data storage and retrieval.
• Utilize cloud platforms such as AWS and Azure to deploy and manage data solutions.
• Monitor and troubleshoot data pipeline performance and reliability.
• Ensure data quality and integrity through rigorous testing and validation processes.

Required Skills:

• Proficiency in AWS and Azure cloud services.
• Experience with Azure SQL and Azure Data Lake.
• Familiarity with Databricks and ETL tools.
• Strong understanding of data engineering principles and best practices.
• Knowledge of financial services and banking data requirements is a plus.
• Excellent problem-solving skills and attention to detail.

If you are passionate about data and eager to contribute to innovative projects in the financial sector, we encourage you to apply for this exciting opportunity.