Python with Pyspark and SQL

Qualifications

• Demonstrate proficiency in Snowflake Tasks showcasing ability to automate data workflows.
• Exhibit expertise in Snowflake Streams ensuring real-time data processing capabilities.
• Possess strong skills in Snowflake SQL enabling complex data manipulations and insights.
• Have experience with Snowpipe ensuring efficient data ingestion processes.
• Show ability to work collaboratively in a hybrid work model balancing remote and in-office tasks.
• Display excellent problem-solving skills addressing technical challenges effectively.
• Maintain a proactive approach to learning and integrating new Snowflake features.

Responsibilities

• Design and implement efficient data solutions using Snowflake Tasks to streamline data processing workflows.
• Develop and maintain Snowflake Streams to ensure real-time data capture and processing capabilities.
• Utilize Snowflake SQL to perform complex queries and data transformations enhancing data accessibility and insights.
• Implement Snowpipe for seamless data ingestion ensuring timely and accurate data availability.
• Collaborate with cross-functional teams to understand data requirements and translate them into technical specifications.
• Optimize Snowflake architectures for performance and scalability ensuring robust data solutions.
• Provide technical guidance and support to junior developers fostering a collaborative and innovative environment.
• Conduct regular code reviews to ensure adherence to best practices and maintain high-quality standards.
• Troubleshoot and resolve technical issues related to Snowflake implementations minimizing downtime and disruptions.
• Stay updated with the latest Snowflake features and industry trends integrating them into existing solutions.
• Document technical processes and solutions ensuring knowledge transfer and continuity.
• Engage in continuous improvement initiatives to enhance data processing efficiency and effectiveness.