10+ years of professional experience in Data Engineering, Software Engineering, and Analytics
Bachelor's or Master's degree in Computer Science or related field
Expert in designing and implementing reliable, scalable Data Platforms
Excellent communication skills for cross-functional technical discussions
Strong problem-solving mindset focused on continuous improvement
Ability to thrive in a fast-paced, deadline-driven environment
Extensive programming experience, particularly in Python
Responsibilities
Lead and design high-performance Data platform software in AWS Cloud
Collaborate with Tech Leaders to shape the platform's vision and strategy
Coach and mentor team members within Supply Chain and Finance verticals
Build strong relationships with architecture and development teams to ensure timely, quality project delivery
Translate business needs into effective data analysis solutions
Partner with Product teams for strategic project delivery and operational activities
Research and standardize platform components for downstream data consumption
Benefits
Remote work with 100% flexibility
Comprehensive health, dental, and vision insurance
Professional development opportunities
Generous time off and leave policies
401(k) with company match
Employee assistance programs
Full Job Description
Role: Principal Data Engineer Location: Remote 100%. Duration: Full Time. Salary: Up to $170K Per Annum + Benefits. Responsibilities:
Lead, architect, design and develop secure, scalable, high-performance and reliable and cost effective Data platform software and services in WS Cloud environment.
Work with Tech Leaders to drive vision & strategy for building the platform for the Supply Chain and Finance Data.
Coach and mentor Team members in the Supply Chain and Finance Engineering vertical Teams.
Partner with architecture, Infosec, and development teams across the entire enterprise to establish a strong relationship and trust for prioritizing and delivering projects on time and with a high degree of quality.
Work with Business end users and translate the business problem and solve them with data analysis and high quality and best technology solutions.
Partner with Product and cross-functional teams to deliver large scale strategic projects as well as ongoing operational activities related to Data Platform.
Drive research and standardization of platform components and Technologies that can make up the building blocks from which downstream systems can consume the data.
Minimum Job Qualifications
10+ years of professional experience in Data Engineering, Software engineering and Analytics.
Bachelor's or Master's degree in Computer Science, Computer/Electrical Engineering, or related field
Expert in design and implement reliable, scalable, and performant Data Platform and data pipelines.
Excellent communication skills: Able to effectively communicate in a clear, concise manner with experience communicating technical issues to cross-functional groups.
Problem solver who never stops thinking about ways to improve.
Ability to function in a fast-paced environment, work under tight deadlines and have flexibility to change course based on business needs or environmental conditions.
A successful history of manipulating, processing, and extracting value from large datasets. Demonstrated use of analytics, metrics, and benchmarking to drive decisions.
Extensive programming and software engineering experience, especially in Python.
Proficient in SQL and Data Analysis.
Experience in Reporting tools like PowerBI, Tableau.
Experience with AWS and Data processing related Services.
Experience with workflow management systems like airflow or oozie
Strong work ethic and strong core values (honesty, integrity, creativity)
Experience in eCommerce, Inventory, Finance, logistics, or SAAS are preferred but not required.
