Staff Data Engineer: Host Pricing & Settings

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Requirements:

• 9+ years of experience with a BS/Masters or 6+ years with a PhD
• Expertise in SQL and proficient in at least one data engineering language, such as Python or Scala
• Experience with Superset and Tableau
• Expertise in large-scale distributed data processing frameworks like Presto or Spark
• Experience with an ETL framework like Airflow
• Extensive knowledge of data management concepts, including data modeling, ETL processes, data warehousing, and data governance.
• Understanding of data security and privacy principles, as well as regulatory compliance requirements (e.g., GDPR, CCPA).
• Strong problem-solving skills and the ability to translate business requirements into technical solutions.
• Excellent communication skills, both written and verbal, ability to distill complex ideas for technical and non-technical stakeholders
• Strong capability to forge trusted partnerships across working teams

Responsibilities:

• Design and implement data pipelines by leveraging best-in-class tools and infrastructure to meet critical business and product requirements.
• Develop high quality data assets for product and AI/ML use-cases
• Collaborate with cross-functional teams to gather requirements, assess data needs, and design efficient solutions that align with business objectives.
• Contribute to the development of long-term data strategies and roadmaps and ML infrastructure development within the organization.
• Influence the trajectory of data in decision making
• Improve trust in our data by championing for data quality across the stack
• Identify and actively work upon opportunities for automation and implement data management tools and frameworks to enhance efficiency and productivity.
• Mentor and coach team members, providing guidance in data engineering best practices and support to enhance their skills and performance.