Data Engineer

Our client has an immediate opening for a Data Engineer. This role is essential for managing and optimizing data processes, particularly in the corporate banking sector. The successful candidate will work on developing, optimizing, and managing ETL pipelines for large-scale, real-time data systems.

Key Responsibilities:

• Develop and maintain ETL pipelines to ensure efficient data processing and integration.
• Optimize existing data workflows to enhance performance and reliability.
• Collaborate with cross-functional teams to gather requirements and deliver data solutions.
• Monitor and troubleshoot data pipelines to ensure data integrity and availability.
• Utilize Azure services to manage data storage and processing needs.
• Write and maintain advanced SQL queries for data extraction and analysis.
• Implement best practices for data governance and security.

Required Skills & Qualifications:

• Strong knowledge of corporate banking processes and data requirements.
• Proven experience in developing and managing ETL pipelines.
• Advanced proficiency in SQL for data manipulation and analysis.
• Expertise in Python programming for data engineering tasks.
• In-depth experience with Azure services and cloud-based data solutions.
• Familiarity with data modeling and database design principles.
• Excellent problem-solving skills and attention to detail.

Experience Level:

• 3-5 years of experience in data engineering or a related field.
• Hands-on experience with large-scale data processing and real-time data systems.

What we offer:

• Opportunity to work with cutting-edge technologies in a dynamic environment.
• Collaborative team culture with a focus on professional development.
• Flexible working arrangements and a supportive work-life balance.
• Exposure to exciting projects within the corporate banking domain.