Offer summary

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 designing and implementing reliable, scalable, and performant Data Platforms and data pipelines., Extensive programming experience, especially in Python, and proficiency in SQL and Data Analysis..

Key responsibilities:

Lead, architect, design, and develop secure and scalable Data platform software in an AWS Cloud environment.

Coach and mentor team members in the Supply Chain and Finance Engineering verticals.

Partner with architecture, Infosec, and development teams to prioritize and deliver projects on time.

Work with business end users to translate business problems into data-driven solutions.

Job description

Role: Principal Data Engineer
Location: Remote 100%.
Duration: Full Time.
Salary: Up to $170K Per Annum + Benefits.

Job Description:

Our client is looking for a new addition to the Supply Chain and Finance Engineering Team! This is a highly multi-functional and visible role, you will be directly involved in decisions that affects our client's business. The position requires a very technical and hands-on Engineer, experience in working closely with Technical, Product and Analytical teams and a deep understanding of Business needs. You are a highly self-motivated individual who creates a dynamic and creative team environment in which problems are solved in new and innovative ways.

Responsibilities:

Lead, architect, design and develop secure, scalable, high-performance and reliable and cost effective Data platform software and services in a AWS 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.