Senior Data Engineer

• Design and execute data migration strategies that ensure security, integrity, and accuracy of data.
• Utilize advanced software engineering practices, including object-oriented programming, to develop and maintain scalable data migration tools.
• Develop efficient SQL queries and procedures for data manipulation, ensuring optimal performance of database systems.
• Apply graph theory concepts in database management to enhance data relationships and retrieval efficiency.
• Implement best practices in source control management to maintain code integrity and collaboration.
• Employ unit testing and test-driven development (TDD) methodologies to ensure robust and error-free code.
• Scripting for Excel parsing and manipulation, leveraging Python pandas for data analysis and transformation tasks.
• Conduct statistical analysis to understand data trends, variances, and to inform migration strategies and decision-making.

 Qualified candidates will possess:

• Bachelor's degree in computer science, Information Technology, or related field. Advanced degree preferred.
• Proven experience in software engineering, with a strong foundation in data structures, algorithms, and design patterns.
• Expertise in Python, SQL, and familiarity with other programming languages.
• Demonstrated ability in using version control systems (e.g., Git/Subversion) and adhering to best practices in source control management.
• Proficiency in unit testing, TDD, and continuous integration/continuous deployment (CI/CD) practices.
• Experience in scripting for Excel parsing and extensive use of Python pandas for data manipulation and analysis.
• Strong analytical skills and proficiency in statistical analysis.
• Excellent problem-solving abilities, communication skills, and team collaboration.
• Self-motivated with a strong work ethic and the ability to handle multiple tasks in a fast-paced environment