Data Engineer
Kforce has a client in Fort Lauderdale, FL that is seeking a Data Engineer. Summary: The Data Engineer supports operations and conducts data analytics projects to provide information and insights to stakeholders for decision-making or solution development. This role implements data standards and deploys automation tools to extract, synthesize, and validate data from different sources and transform data into usable metrics. The Data Engineer constructs data sets, monitors data quality, troubleshoots and resolves database issues to ensure data integrity. He/she utilizes scripting and querying tools like Python, R or SQL, data visualization/BI tools, statistical methods, and data modeling to produce reports, data files, and dashboards. This position collaborates with stakeholders to understand their needs, objectives, and requirements. Job Responsibilities:
- Data Analysis: Collect, analyze, and compile data from multiple sources to create comprehensive and informative reports
- SQL Mastery: Develop, optimize, and troubleshoot complex SQL queries for efficient data extraction and transformation
- Report Creation: Design and maintain visually compelling report templates and dashboards using Power BI, Tableau, or advanced Excel
- Collaborative Engagement: Partner with the CIO and department heads to understand reporting needs and translate them into actionable insights
- Data Quality Assurance: Ensure the accuracy, consistency, and reliability of all reports through thorough validation and documentation practices
- Process Enhancement: Continuously refine and streamline reporting processes for maximum efficiency and timely delivery
- Leadership and Influence: Coach, mentor, and develop team members directly and indirectly
- A Bachelor's degree in Computer Science, Data Science, Business Analytics, or a related field is ideal
- 7+ years as a Report Writer, Data Analyst, or in a similar role focused on report development is required
- Must possess advanced skills in writing, optimizing, and troubleshooting complex SQL queries
- Must have strong experience with data visualization tools (e.g., Power BI, Tableau, or equivalent software) with the ability to extrapolate and make recommendations or decisions
- Must have advanced knowledge of MS Excel, including pivot tables, VLOOKUPs, and data modeling
- A strong analytical mindset, attention to detail, problem-solving capabilities, and excellent written and verbal communication is ideal
- Familiarity with business intelligence best practices; Knowledge of data governance
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