
data engineer sr. mt
1 week ago
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.
Work Related Experience
Data Engineering
Education Level
BACHELOR'S DEGREE
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