AWS Data Engineer

We are seeking a highly skilled AWS Data Engineer to join a dynamic team. In this hybrid role, you will be instrumental in designing, implementing, and optimizing scalable cloud-based data solutions. This position involves integrating AI and automation, modernizing legacy systems, and ensuring robust data governance and security within a cutting-edge data architecture.

Our client is a prominent global firm in the computer software industry, known for its innovative solutions and commitment to technological advancement. They operate at a significant scale, serving a diverse international client base. The company fosters a culture of continuous learning, collaboration, and excellence, empowering its employees to drive impactful change.

Responsibilities

• Design and implement data pipelines supporting machine learning, generative AI, and real-time analytics.
• Develop scalable, cloud-based data solutions using Data Mesh, Lakehouse, and streaming patterns.
• Apply responsible AI principles and enforce data privacy, security, and regulatory compliance standards.
• Improve data platform performance through query tuning, distributed processing, and cloud cost optimization.
• Support modernization of legacy systems using containerization, serverless services, and workflow automation.
• Collaborate with business and engineering partners to deliver data solutions aligned to strategic goals.
• Create and maintain architecture documentation, runbooks, and implementation standards.
• Implement secure-by-design patterns, disaster recovery capabilities, and reliability improvements for critical data services.
• Evaluate and adopt emerging technologies, including AI-enabled tooling, that provide measurable value.

Requirements

• Bachelor’s degree in Computer Science, Mathematics, Engineering, or equivalent practical experience.
• 7+ years of experience in data engineering, software engineering, or data platform development.
• 2+ years of hands-on experience with Snowflake.
• Mandatory financial industry data experience.
• 3+ years of experience in AWS (or similar cloud platforms), including S3, IAM, Athena, SNS, SQS, and EMR.
• 4+ years of SQL Server experience, including SSIS and SSRS.
• Proven ability to provide technical guidance and collaborate effectively within cross-functional engineering teams.
• Experience designing and supporting scalable distributed data systems using open-source and cloud-native technologies.
• Working experience with Agile delivery models such as Scrum or Kanban.