Data Engineer

David Yurman Enterprises•New York, NY

8d•Hybrid

About The Position

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. This is a hybrid position with location in New York. The DME team is in a formation state, and this is an exciting time to join and grow with an organization which is 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