Data Engineer

Responsibilities

• Build and maintain data architecture pipelines to ensure the transfer and processing of durable, complete, and consistent data
• Design and implement data warehouses and data lakes that manage appropriate data volumes and velocity while adhering to security measures
• Develop processing and analysis algorithms suitable for complex data volumes
• Collaborate with data scientists to build and deploy machine learning models
• Drive continuous improvement in data systems and manage technical risks and controls
• Act as a technical advisor and partner with various business functions and stakeholders

Requirements

• Advanced SQL query writing and performance tuning skills
• Experience with Teradata enterprise data warehousing
• Proficiency in PySpark for distributed data processing
• Familiarity with Hadoop big data architecture and tools
• Strong Linux Shell Scripting skills for automation and data handling

Preferred Qualifications

• Awareness of AWS cloud-based data platforms and services
• Prior experience with data migration or analytics on AWS

About the Company

Barclays is a leading global financial institution committed to excellence, integrity, and service. We foster a culture of collaboration and innovation, empowering our people to drive digital transformation and deliver unparalleled customer experiences.