Partner with Data Services product owners, data engineers, data scientists, and BI developers to deliver data modeling, data quality, and overall data warehousing requirements in support of business and reporting objectives.
Contribute to the on-going health and evolution of our centralized data platform, including the development and enhancement of our data pipelines. Responsible for hundreds of ingests processing billions of records daily.
Build and maintain operational and analytical tables in our enterprise data warehouse that supports all departments and business domains, including financial transactions, supply chain activities, merchandising buying decisions, and marketing campaigns.
Design and develop automated data quality testing and validation processes – ensuring timely access to highly accurate data for business partners and end users.
Assist with implementation of data governance standards and best practices, both within the Data Services team and the company overall.
You will come with
Bachelor's Degree in Computer Science, Engineering, Technology or a related field
Master's Degree in Computer Science, Engineering, Technology or a related field preferred
3-6 years' experience in data warehousing, data modeling, or related fields
Proven track record in building impactful data modeling solutions using cloud-native tools.
Extensive experience with SQL and DBMSs and experience with programming languages such as Python.
Experience with data orchestration, ingestion, and transformation tools – Airflow, Argo, and dbt preferred
Experience leveraging cloud in development of data and analytics platforms – GCP/BigQuery, Microsoft Fabric, & Kubernetes experience preferred
Experience in real-time data transmission & integration using kafka preferred.
Experience with CI/CD, including GitHub required
Strong analytic skills, attention to detail, ability to multi-task, troubleshoot and problem solve along with the ability to make recommendations based on analysis are extremely important.
Intake Notes:
1. Pain Points / Hiring Need
ETL pipelines and overall data management
Foundational SQL and Python
Need candidates who have real applied experience, not just theoretical skills
Most candidates fall short on hands on pipeline building
2. Candidate Profile
3–5 years of true Data Engineering experience
Must demonstrate strong SQL and Python skills
Priority on candidates who can showcase real pipeline development
Core Cloud Platform
GCP
Airflow, dbt, and Kafka would be really nice to have