Data Engineer II, Infra-Finance Business intelligence & Transformations

• Design, implement, and support large-scale data pipelines and ETL processes using AWS technologies
• Lead and design complex data architectures, ensuring scalability, security, and alignment with business objectives.
• Build and maintain efficient, scalable data pipelines and curated datasets optimized for AI consumption and self service analytics.
• Identify and resolve system-wide data challenges, including performance bottlenecks and architectural deficiencies.
• Tune application and query performance using profiling tools and SQL.
• Analyze and solve problems at their root, stepping back to understand the broader context.
• Keep up to date with advances in data technologies and run pilots to design the data architecture to scale with the increased data volume using AWS.
• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets.
• Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment.
• Recognize and adopt best practices: data integrity, test design, analysis, validation, and documentation.
• Ensure data solutions are auditable, accessible, and maintainable across the organization
• Collaborate with cross-functional teams to deliver innovative data solutions