Data Warehouse Engineer - Remote

Posted 4 days ago

Data Analysis

Full Time

OH, USA

Overview

The Data Warehouse Engineer will play a crucial role in designing, implementing, and maintaining our organization's data warehouse infrastructure, enabling informed decision-making across our clients’ companies.

In Short

Collaborate with cross-functional teams to understand data requirements.
Develop and maintain a robust data warehouse architecture.
Design ETL processes to ingest data from various sources.
Optimize ETL workflows for data transformation.
Ensure data quality and accuracy throughout the ETL process.
Monitor and tune data warehouse performance.
Identify and resolve bottlenecks in ETL pipelines.
Develop and maintain data models for efficient querying.
Implement security measures for sensitive data.
Document data warehouse processes and workflows.

Requirements

Strong experience with ETL tools and techniques.
Solid understanding of data modeling concepts.
Familiarity with data security and compliance standards.
Proficiency in scripting languages (e.g., Python, Bash).
Excellent problem-solving skills.
Strong communication skills.
Experience with version control systems (e.g., Git) is a plus.
Experience with Machine Learning and Artificial Intelligence is a plus.

Benefits

Competitive compensation.
Robust benefits plan.
Focus on employee well-being and professional development.
Work-life balance culture.

Rea

Rea is a dynamic and expanding Top 100 business advisory and accounting firm that specializes in tax, accounting, and business consulting services. With a strong commitment to a 'People First' culture, Rea prioritizes the well-being and professional development of its employees, fostering a work environment that respects work-life balance. The firm boasts over 400 professionals across multiple locations in Ohio and offers competitive compensation along with a comprehensive benefits package. Rea is dedicated to providing innovative solutions to its clients, ensuring informed decision-making through efficient data management and analysis.

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