Job Description

Centurion is looking for a Data Engineer for a remote opportunity.

Key Responsibilities

• Data Pipeline Development and Maintenance: Build, maintain, and optimize data pipelines to ensure efficient, reliable data flow across the organization. Ensure data quality through effective validation and transformation processes.
• Data Analysis and Insight Generation: Collaborate with stakeholders to understand data needs and provide actionable insights. Analyze complex data sets and translate findings into concise, valuable insights for strategic decision-making.
• Visualization and Reporting: Develop and maintain dashboards and visualizations using Tableau, enabling real-time insights for various business functions. Design accessible, user-friendly reports to support data-driven initiatives.
• Data Quality and Compliance: Follow data governance best practices and standards to maintain accuracy, consistency, and compliance across all data activities. Perform regular data quality checks to ensure alignment with organizational guidelines.
• Collaboration with Business Units: Work closely with business units to understand data requirements, gather insights, and provide support on data-related issues. Act as a liaison between technical and business teams to ensure alignment on data goals.

Technical Skills

• Data Engineering Tools and Techniques: Proficiency in SQL, ETL tools, and data transformation to manage and optimize data flows.
• Data Visualization: Extensive experience with Tableau or similar tools, creating clear, impactful dashboards to deliver insights.
• Data Quality Management: Experience in conducting data quality checks and adhering to data governance best practices.
• Analytical Skills: Strong ability to analyze large datasets, identify trends, and deliver insights that support business strategies.
• Programming and Scripting: Familiarity with Python or R for data manipulation and analysis.

Qualifications

• Education: Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field, or equivalent experience.
• Experience: Minimum of 3+ years in data engineering or data support roles, with hands-on experience in data analysis, pipeline management, and visualization.
• Additional Skills: Familiarity with Agile methodologies and experience with data warehousing solutions is a plus.