Senior Data Engineer

hace 2 semanas

Montevideo, Uruguay Levee A tiempo completo

**About Levee**

We are on a mission to transform the way companies hire and manage their people. We are backed by the leading workforce, AI and impact investors globally including 8VC, Trust Ventures, Acumen, Andreessen Horowitz' Latam-anchored Fund, Latitud.

Our AI-driven software reduces bias in hiring practices, leading to increased workforce

participation of females and sociodemographic minorities while significantly reducing hiring costs for companies. Reducing bias is a win-win for everyone, which is why some of the largest employers in Latin America, such as McDonald's, rely on us. Improving hiring decisions is a $230bn opportunity - the largest productized opportunity in the HR space.

We are a fast-growing enterprise software company, and our product has strong machine-learning, web, mobile, and messaging components.

As we enter the US market, we are looking for a Senior Data Engineer to enhance our Latin-America built platform and scale it to thousands of enterprises in multiple geographies, including the US.

**Responsibilities**:

- Identify and analyze data discrepancies and data quality issues; work to ensure data consistency and integrity
- Capture code testing and provide reports based on meeting test deliverables
- Ensure all defect codes are documented, triaged, and resolved in a timely manner
- Take projects from the earliest stages through rollout to production
- Develop unique solutions that may involve changes to client business processes, adaptation of existing IT systems and integration of disparate data sources to create the ideal solution, often a data extract or dashboard
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics

**Skills and Experience**
- 5+ years experience working in a data engineering role
- Fluent in Spanish and English a must
- Experience working in cloud ecosystems and deployment to cloud environments
- Experience instituting devtools+devops best practices, including version control, code reviews, deployability, and CI/CD
- Experience building and optimizing data pipelines, architectures and data sets
- A broad set of technical skills and knowledge across hardware, software, systems, and solutions development.
- Desire to work with a fast paced, multifaceted, high growth focused engineering team

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