Principal Data Engineer
$170kSaviance
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.
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