Data Engineer

Description

We are looking for a skilled Data Engineer to support our organization's data initiatives in Savannah, Georgia. This Contract to permanent role focuses on managing, optimizing, and securing data systems to drive strategic decision-making and improve overall performance. The ideal candidate will work closely with technology teams, analytics departments, and business stakeholders to ensure seamless data integration, accuracy, and scalability.

Responsibilities:
Design and implement robust data lake and warehouse architectures to support organizational needs.
Develop efficient ETL pipelines to process and integrate data from multiple sources.
Collaborate with analytics teams to create and refine data models for reporting and visualization.
Monitor and maintain data systems to ensure quality, security, and availability.
Troubleshoot data-related issues and perform in-depth analyses to identify solutions.
Define and manage organizational data assets, including SaaS tools and platforms.
Partner with IT and security teams to meet compliance and governance standards.
Document workflows, pipelines, and architecture for knowledge sharing and long-term use.
Translate business requirements into technical solutions that meet reporting and analytics needs.
Provide guidance and mentorship to team members on data usage and best practices.

Requirements

Bachelor's degree in Data Science, Computer Science, Analytics, or a related field.

At least 4 years of experience in data engineering or analytics roles.

Proficiency in ETL processes, SQL, and data modeling techniques.

Hands-on experience with cloud-based data platforms such as Azure Data Lake, Snowflake, or similar.

Strong problem-solving skills and attention to detail to ensure data accuracy and reliability.

Knowledge of data governance, compliance standards, and integration best practices.

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