Senior Python Developer with Snowflake Expertise

Job Summary:

We are seeking an experienced Senior Python Developer with a strong background in Snowflake to join our dynamic team. In this role, you will leverage your expertise to design, develop, and optimize data pipelines, contributing to our data-driven initiatives and enhancing business intelligence across the organization.

Key Responsibilities:

• Design and implement scalable data solutions using Python and Snowflake to support various analytics and reporting needs.
• Develop and maintain ETL processes that ensure high data quality and performance, while adhering to coding best practices.
• Collaborate with cross-functional teams to gather requirements and translate them into technical specifications for data integration.
• Optimize existing data pipelines for improved performance and cost efficiency, utilizing Snowflake's features effectively.
• Perform data modeling and participate in data architecture discussions to ensure robustness in our data strategies.
• Provide mentorship and guidance to junior developers, fostering a culture of learning and best practices within the team.
• Stay updated on industry trends and emerging technologies, and recommend solutions that could enhance our data capabilities.

Requirements:

• Minimum of 4 years of experience in Python development, with a focus on data-related projects.
• Strong proficiency in Snowflake, including data warehousing concepts and SQL skills.
• Experience with data integration tools and methodologies, particularly in ETL processes.
• Familiarity with cloud platforms, specifically AWS or Azure, for deploying data solutions.
• Solid understanding of data modeling and database design principles.
• Excellent analytical and problem-solving skills, with a keen eye for detail.
• Strong communication skills, enabling effective collaboration with both technical and non-technical stakeholders.

Preferred Qualifications:

• Experience with data visualization tools such as Tableau or Power BI is a plus.
• Knowledge of machine learning frameworks and data science principles.
• Familiarity with DevOps practices and tools for enhancing the data development lifecycle.
• Proficiency in another programming language, such as R or Java, will be beneficial.