Data Engineer 1

About the Role

The Data Engineer is responsible to put in place the framework for a Modern, Simple, Accurate and Secure Data Environment that connects data across the company and sets data up as an asset to the company. Data Engineers will support software developers, database architects, data analysts, and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. Data engineers implement methods to improve data reliability and quality.

Key Responsibilities

• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Work with stakeholders including the Executive, Manufacturing, Sales, and Marketing teams to assist with data-related technical issues and support their data infrastructure needs.
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Develop ways to improve data quality, reliability, and efficiency.
• Perform additional projects/duties to support ongoing business needs.

Nature & Scope

• Work is closely supervised; possesses a broad theoretical job knowledge typically obtained through advanced education.
• Has no discretion to deviate from established procedures by performing structured work assignments.
• Problems faced are not typically difficult nor complex.
• Explains facts, policies, and practices related to the job area.

Knowledge & Skills

• Knowledge of programming languages, applications, database apps, and tools.
• Demonstrated analytical, quantitative, and creative problem-solving skills.
• Effective written & verbal communication skills.
• Effective organizational & time management skills including prioritization.
• Solid collaboration abilities; professional & diplomatic team builder.
• Ability to work independently on multiple tasks and projects, with various teams including Engineering, Sales, IT, Finance, Marketing, Manufacturing, Logistics, etc.
• Ability to apply good judgment, strong work ethic, and integrity on the job.

Requirements & Tech Stack

• SQL
• AWS ‘big data’ technologies

Qualifications

• Bachelor’s degree in Engineering, Data Science, Computer Science or may consider equivalent & relevant work experience with formal training and certifications.