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Responsibilities
• Lead the design and implementation of Snowflake-based data solutions to meet business requirements.
• Oversee the development and maintenance of Snowflake Streams Snowpipe and Snowflake Tasks to ensure data integrity and efficiency.
• Provide technical guidance and mentorship to team members fostering a collaborative and innovative environment.
• Collaborate with cross-functional teams to define and execute data strategies that align with organizational goals.
• Ensure the optimization and performance tuning of Snowflake SQL queries to enhance system performance.
• Develop and enforce best practices for data management security and compliance within the Snowflake environment.
• Conduct regular code reviews and provide constructive feedback to maintain high-quality code standards.
• Drive continuous improvement initiatives to enhance the scalability and reliability of data solutions.
• Monitor and troubleshoot data pipelines to ensure seamless data flow and timely issue resolution.
• Engage with stakeholders to gather requirements and translate them into technical specifications.
• Stay updated with the latest advancements in Snowflake and related technologies to drive innovation.
• Implement robust data governance practices to ensure data accuracy and consistency across the organization.
• Contribute to the development of technical documentation and training materials for end-users and team members.
Qualifications
• Possess a deep understanding of Snowflake Streams Snowpipe Snowflake Tasks and Snowflake SQL.
• Demonstrate strong problem-solving skills and the ability to troubleshoot complex data issues.
• Exhibit excellent communication and interpersonal skills to effectively collaborate with diverse teams.
• Show a proactive approach to learning and staying current with industry trends and technologies.
• Have experience in the Cards and Payments domain which is considered a valuable asset.
• Display a strong commitment to delivering high-quality solutions that meet business needs.
• Demonstrate the ability to work in a hybrid work model balancing remote and in-office responsibilities.
• Exhibit strong organizational skills and the ability to manage multiple tasks and projects simultaneously.
• Show a keen attention to detail and a commitment to data accuracy and integrity.
• Have a proven track record of leading technical teams and delivering successful data projects.
• Demonstrate the ability to work independently and take ownership of complex technical challenges.
• Show a strong understanding of data governance and compliance requirements.