Data Engineer

Role Overview

Designs and establishes secure and performant data architectures, enhancements, updates, and programming changes for portions and subsystems of data pipelines, repositories or models for structured/unstructured data. The role involves analyzing design, determining coding activities, executing testing plans, and collaborating within a project team to develop reliable, cost-effective, and high-quality solutions.

Responsibilities

• Designs and establishes secure and performant data architectures and data pipelines.
• Analyzes design and determines coding, programming, and integration activities.
• Writes and executes complete testing plans, protocols, and documentation.
• Collaborates with other data engineers to develop high-quality solutions.
• Analyzes data inaccuracies and supports the development of automated solutions.
• Identifies problematic areas and conducts research to correct data.
• Works cross-functionally to assess, define, and develop report deliverables.
• Provides guidance and mentoring to less experienced staff members.

Requirements

• Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, Statistics/ Mathematics, or related discipline.
• 4-7 years of work experience in data analytics, data engineering, or data modeling (or 3-5 years with an advanced degree).
• Experience using data visualization tools such as Minitab, Excel, Python, and Microsoft Power BI.
• Hands-on experience in developing AI / GenAI solutions (e.g. Copilot, chatbots, prompt engineering).
• Experience with Power Automate, Python, advanced Excel, or Power BI.
• Knowledge of Agile Methodology.

Skills

• Python
• SQL
• Amazon Web Services
• Apache Spark
• Java