Job Description

Role Summary:
We’re looking for a Data Engineer who builds with intention and works with purpose. Someone who takes initiative, values doing things right, and is always looking for ways to make a difference—no matter how big or small. With deep expertise in Microsoft technologies, you bring both skill and care to your craft, knowing that the solutions you create help move the company forward.

Requirements

Soft Skills (Required):	
• Ownership & Accountability Takes full responsibility for deliverables, ensuring they meet standards and contribute to meaningful outcomes.
• Analytical Thinking Applies structured logic and attention to detail to solve complex engineering challenges that drive business value.
• Time Management Manages priorities effectively and delivers quality work on schedule, even in dynamic environments.
• Team Collaboration Works openly and supportively within technical teams, sharing solutions and contributing to a culture of continuous improvement.
• Adaptability Responds well to change, whether in tools, direction, or data landscape—staying focused on what matters.
• Precision Delivers clean, consistent, and reliable code with a high standard of technical accuracy.
• Proactive Attitude Sees opportunities and risks early—acts without being asked, always looking for ways to improve.
• Purposeful Communication Writes clear, concise technical documentation and communicates ideas in a way that supports execution and team alignment.

Key Technical Qualifications:
• ETL Development - SSIS (SQL Server Integration Services) for building and managing robust data pipelines.
• Database Engineering - SQL Server, including T-SQL scripting, indexing strategies, query optimization, and database maintenance.
• Reporting Solutions - Skilled in developing, deploying, and maintaining reports using SSRS (SQL Server Reporting Services).
• Data Warehousing Hands-on experience in designing and implementing dimensional models using star and snowflake schemas.
• Cloud Integration Working knowledge of Azure Data Factory, Azure SQL Database, and Azure Data Lake for hybrid and cloud-based data solutions.
• Automation & Scripting Familiarity with PowerShell and basic Python scripting to support workflow automation and task efficiency.
• Version Control & DevOps Experience using Git or Azure DevOps for source control, deployment, and collaboration in a team environment.
• Performance Optimization Strong skills in debugging, tuning, and troubleshooting ETL processes, stored procedures, and database performance issues.
• Technical Documentation Ability to produce clear and maintainable documentation for data structures, logic flows, and system components.

Qualifications:
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field.
• 2-3 years of experience in data engineering roles.

Date Posted : 07/17/2025 (9 months ago)