Data Integrity Manager

Responsibilities:

• Technical Mentorship and Code Quality: Mentor team members on coding standards, optimization, and debugging while conducting code and report reviews to enforce high code quality. Provide constructive feedback and enforce quality standards.

• Testing and Quality Assurance Leadership: Lead the development and implementation of rigorous testing protocols to ensure project reliability and advocate for automated test coverage.

• Process Improvement and Documentation: Establish and refine standards for version control, documentation, and task tracking to improve productivity and data quality. Continuously refine these processes to enhance team productivity, streamline workflows, and ensure data quality.

• Hands-On Technical Support: Provide expert troubleshooting support in Python, MySQL, GitKraken, Tableau and Knime, helping the team resolve complex technical issues. Provide on-demand support to team members, helping them overcome technical challenges and improve their problem-solving skills.

• High-Level Technical Mentorship: Provide mentorship in advanced technical areas, including best practices, data visualization and advanced Python programming. Guide the team in building scalable and reliable solutions to continual track and monitor data quality.

• Cross-Functional Collaboration: Partner with data scientists, product managers, and data engineers to align data requirements, testing protocols, and process improvements. Foster open communication across teams to ensure seamless integration and delivery of data solutions.

• Continuous Learning and Improvement: Stay updated with emerging data engineering methodologies and best practices, sharing relevant insights with the team. Drive a culture of continuous improvement, ensuring the team s skills and processes evolve with industry standards.

• Data Pipelines: Design, implement and maintain scalable data pipelines for efficient data transfer, transformation, and visualization in production environments.