Design, build, and maintain scalable data pipelines and ETL processes tailored to client needs.
Develop and optimize complex SQL queries for data extraction, transformation, and loading.
Diagnose and troubleshoot data-related issues, providing quick and effective resolutions.
Analyze data workflows and identify areas for improvement, recommending and implementing solutions to optimize performance.
Utilize a proactive approach to foresee potential problems and address them before they impact clients' operations.
Design and implement dimensional models to support data warehousing and business intelligence initiatives.
Create and maintain dashboards and reports using data visualization tools to provide actionable insights.
Train clients on best practices for using data visualization tools to maximize value.
Engage with clients to understand their data needs and business objectives.
Conduct detailed requirements analysis and provide recommendations for data infrastructure improvements.

Requirements

Bachelor’s degree in computer science, Information Technology, or a related field.
3+ years of experience in data engineering, data warehousing, or a similar role.
Strong proficiency in SQL
Proven experience with data visualization tools and theory.
In-depth knowledge of dimensional modeling concepts and techniques.
Familiarity with ETL tools and processes.
Strong problem-solving skills and attention to detail
Experience with cloud-based data platforms
Excellent communication and collaboration skills, with the ability to work effectively with clients.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLETL processesdata pipelinesdimensional modelingdata warehousingdata extractiondata transformationdata loadingdata visualizationdata analysis

Soft Skills

problem-solvingattention to detailcommunicationcollaborationclient engagementrequirements analysisproactive approachtroubleshootingrecommendation skillstraining