Scale is looking to solve the problem of enabling AI development by providing a data engine that powers advanced LLMs and generative models through RLHF, human data generation, model evaluation, safety, and alignment. The Data Analytics team specifically needs to build critical data pipelines, platforms, and reporting to support data-driven decision making and strategy for the company, including financial reporting, experimentation, and AI-enabled insights.
Requirements
- 6+ years of relevant work experience in a role requiring application of data modeling, warehouse optimization and automation skills.
- Ability to create extensible and scalable data schema and pipelines that lay the foundation for downstream analysis using SQL and Python
- Experience building a reliable transformation layer and pipelines from ambiguous business processes using tools such DBT to create a foundation for data insights.
- Experience partnering with engineering, and business stakeholders to automate manual data workflows
- Experience in best practices for query and cost optimization in Snowflake.
- Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI).
- Experience developing and deploying data engineering tooling
Responsibilities
- Provide critical input in the Data Engineering team’s roadmap and technical direction
- Continually improve ongoing data pipelines and simplify self-service support for business stakeholders
- Perform regular system audits, and create data quality tests to ensure complete and accurate reporting of data/metrics
- Design and implement and deploy data engineering frameworks
- Manage and optimize data pipelines, warehouses and costs
- Deliver at a high velocity and level of quality to engage our customers.
- Work across the entire product lifecycle from conceptualization through production
Other
- Be able, and willing, to multi-task and learn new technologies quickly
- Work closely with cross-functional partners like finance, product, software engineers, and operations to identify opportunities for business impact, understand, refine and prioritize requirements for Data engineering.
- Strong written and verbal communication skills
- Strong problem-solving skills, and be able to work independently or as part of a team.
- Excitement to work with AI technologies.
