Job summary
Job post source
This job is directly from CloudHive
Job overview
The Snowflake Data Engineer will work on refining the technology stack and implementing data ingestion pipelines for media and advertising datasets in a contract role.
Responsibilities and impact
Daily responsibilities include deploying research models in Snowflake, optimizing performance and cost, providing guidance on Snowflake capabilities, offering production support for data warehouse issues, and collaborating across the organization.
Experience and skills
Proficiency in Snowflake and SQL is required, along with experience in query optimization and working with diverse datasets; familiarity with dbt and orchestration systems is highly valued.
Career development
This role offers the chance to influence technology decisions and access to diverse media and advertising data, fostering professional growth.
Work environment and culture
The company promotes a fast-moving culture with significant responsibility and autonomy, encouraging collaboration in an engaging environment.
Company information
CloudHive is a media and advertising consulting firm focused on empowering businesses through data-driven insights to enhance marketing strategies.
Job location and travel
This position is remote and based in the US.
Unique job features
This role allows for significant influence on technology decisions and access to interesting datasets, along with a dynamic team environment.
Company overview
CloudHive is a staffing and recruiting company headquartered in Tampa, Florida, with a team size ranging from 11 to 50 employees. The company specializes in enhancing the delivery capacity of Snowflake Partners and improving customers' internal capabilities through tailored recruitment solutions. CloudHive generates revenue by providing these customized recruitment services, which are essential for businesses looking to optimize their workforce in the tech industry. The company is led by President Levi L., who plays a significant role in its operations and strategic direction.
How to land this job
Tailor your resume to emphasize your proficiency with Snowflake, particularly focusing on your experience in query optimization and cost-compute optimization in a cloud data environment.
Highlight your background in building and operating data pipelines, as well as your familiarity with diverse external datasets, especially in media and advertising, to align with the job requirements.
Apply through multiple platforms, including CloudHive's corporate site and LinkedIn, to maximize your chances of being noticed for this contract role.
Connect with individuals in the data engineering division at CloudHive on LinkedIn to gather insights about the position; potential ice breakers could include discussing recent industry trends in media and advertising or asking about their experiences with Snowflake.
Optimize your resume for ATS systems by incorporating keywords from the job description such as 'Snowflake', 'query optimization', and 'data pipelines' to ensure it passes initial screenings.
Utilizing Jennie Johnson's Power Apply feature can simplify the application process by tailoring your applications, identifying optimal channels, and suggesting relevant connections to network with, allowing you to focus on your job search more effectively.
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