Data Engineer

David Yurman•New York, NY

1d•Hybrid

About The Position

The Data Management & Engineering (DME) team at David Yurman (DY) is responsible for designing and implementing state-of-the-art data and analytics solutions. We are looking for a dynamic Data Engineer to design and build data integration solutions to support DY’s modernization efforts. This is a hybrid position located in New York. The DME team is in a formation state, and this is an exciting time to join and grow with an organization that has been rapidly growing for the past 3 years.

Requirements

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.
Strong written and verbal communication skills.
Master’s degree in computer science or bachelor’s degree with equivalent work experience.

Nice To Haves

Familiarity with retail as a business.
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).
Snowflake / salesforce certifications desirable.

Responsibilities

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.
Build 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.
Connect multiple enterprise systems (ERP, CRM, e-commerce platforms, 3rd-party APIs) with each other and to cloud data warehouse.
Build 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.
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.