Python with Pyspark and SQL

Qualifications

• Demonstrate proficiency in Snowflake Tasks, with proven ability to automate data workflows.
• Exhibit expertise in Snowflake Streams to support real-time data processing capabilities.
• Possess strong skills in Snowflake SQL to enable complex data manipulation and actionable insights.
• Have experience with Snowpipe to support efficient data ingestion.
• Show ability to work collaboratively in a hybrid work model, balancing remote and in-office responsibilities.
• Display excellent problem-solving skills to address 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 run complex queries and data transformations that enhance data accessibility and insights.
• Implement Snowpipe to enable seamless data ingestion and ensure timely, 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 to deliver robust data solutions.
• Provide technical guidance and support to junior developers, fostering a collaborative and innovative environment.
• Conduct regular code reviews to ensure alignment with best practices and maintain high-quality standards.
• Troubleshoot and resolve technical issues related to Snowflake implementations to minimize downtime and disruptions.
• Stay current on the latest Snowflake features and industry trends, integrating them into existing solutions.
• Document technical processes and solutions to ensure knowledge transfer and continuity.
• Participate in continuous improvement initiatives to enhance the efficiency and effectiveness of data processing.