Description
Why Birdeye
Birdeye is the highest-rated reputation, social media, and customer experience platform for local businesses and brands. Over 150,000 businesses use Birdeye's AI-powered platform to effortlessly manage online reputation, connect with prospects through social media and digital channels, and gain customer experience insights to grow sales and thrive.
At Birdeye, innovation isn't just a goal it's our driving force. Our commitment to pushing boundaries and redefining industry standards has earned us accolades as one of the foremost providers of AI, Reputation Management, Social Media, and Customer Experience software by G2.
Founded in 2012 and headquartered in Palo Alto, Birdeye is led by a team of industry experts and innovators from Google, Amazon, Salesforce, and Yahoo. Birdeye is backed by the who's who of Silicon Valley - Salesforce founder Marc Benioff, Yahoo co-founder Jerry Yang, Trinity Ventures, World Innovation Lab, and Accel-KKR.
Role Overview
As a Data Warehouse Engineer with expertise in Snowflake and SQL, you will play a pivotal role in developing and maintaining of data solutions within our organization. Your primary responsibility will be architecting, implementing, and optimizing Snowflake data warehouse solutions while leveraging SQL for data manipulation and analysis. This role requires a deep understanding of Snowflake's architecture, best practices, and performance optimization techniques, coupled with a strong command of SQL querying and scripting.
Key Responsibilities
- Architecture and Design: Architect scalable and efficient Snowflake data models and ETL processes to ensure optimal performance, reliability, and data integrity.
- Implementation: Hands-on development of Snowflake queries, procedures, and workflows to implement data pipelines, transformations, and integrations.
- Performance Optimization: Identify and implement performance-tuning strategies to enhance the efficiency and speed of Snowflake queries and data processing tasks.
- Quality Assurance: Ensure the quality and accuracy of data pipelines and analytical outputs through rigorous automated testing and validation procedures.
- Collaboration: Collaborate closely with cross-functional teams including data scientists, analysts, and business stakeholders to understand requirements and deliver data solutions that address their needs.
- Documentation and Training: Document technical designs, processes, and best practices, and provide training and guidance to team members on Snowflake and SQL technologies.
- Continuous Improvement: Stay abreast of industry trends, emerging technologies, and best practices in Snowflake to drive continuous improvement and innovation within the team.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred.
- 2-4 years of experience working as a data engineer or similar role, with a focus on Snowflake and SQL. Expertise in Snowflake data warehouse architecture, configuration, and administration.
- Proficiency in SQL including complex querying, optimization, and scripting.
- Hands-on experience with ETL tools, data modelling, and schema design.
- Strong analytical and problem-solving skills with a keen attention to detail.
- Excellent communication and collaboration skills, with the ability to effectively interact with technical and non-technical stakeholders.
- Join us in this exciting opportunity to lead the development of cutting-edge data solutions using Snowflake, and make a meaningful impact on our organization's data-driven initiatives
Why You'll Join Us
At Birdeye, we are relentless innovators driven by a singular goal: to lead our category with unparalleled excellence. We don't just set goals we surpass them. We're a team of doers who roll up our sleeves and get the job done, delivering on our promises with unwavering dedication.
Working here means embracing a culture of action and accountability, where every person is empowered to make an impact. We don't just talk about making a difference we make it happen.
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