About the role

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.