Data Engineer

Pipeline Engineering

• Design and build production-grade data pipelines using AWS serverless technologies with proper error handling, retry logic, and observability
• Implement data warehousing patterns for historical tracking and compliance requirements
• Create incremental data processing workflows with change data capture (CDC) and idempotent designs
• Create multi-stage orchestration workflows with parallel execution capabilities
• Develop appropriate test scripts and test the code before promoting to production

Integration Development

• Connect multiple enterprise systems (ERP, CRM, e-commerce platforms, 3rd-party APIs) with each other and to cloud data warehouse
• Design event-driven data flows using AWS messaging and streaming services
• Design RESTful APIs for real-time data access with proper authentication and authorization
• Develop integrations across retail, supply chain, and financial systems

Infrastructure & DevOps

• Write Infrastructure as Code using Terraform to manage all cloud resources
• Build multi-environment deployment pipelines with automated testing and validation
• Implement monitoring and alerting for pipeline health, data quality, and SLA compliance
• Optimize cloud costs through serverless architecture patterns and right-sizing
• Define security guardrails within data integrations

About Us

The Data Management & Engineering (DME) team at David Yurman (DY) is responsible to design & implement state of the art data & analytics solutions. We are looking for a dynamic Data Engineer to design and build data integration solutions to support DY’s modernization efforts.

Qualifications

• Minimum 5-7 years of experience in designing, building, and supporting data integrations and pipeline orchestrations using AWS technologies such as AWS Lambda, Step Function, Fargate, Glue etc.
• 5+ years’ experience with Snowflake a must have
• 3+ years’ experience with programming languages – SQL, Python
• Familiarity with retail as a business a nice to have
• Familiarity with Oracle Integration Cloud (OIC) or other integration platform a plus
• Familiarity with reporting tools such as Sigma a huge plus
• Familiarity with Salesforce ecosystem preferred (SFCC, SFSC, SFMC)

Education

• Master’s degree in computer science or bachelor’s degree with equivalent work experience
• Snowflake / salesforce certifications desirable