Job Summary:
Nelo is a leading consumer fintech and e-commerce platform in Mexico, and they are seeking a Senior Data Engineer to design, build, and operate their core data platform. This role involves partnering with various teams to ensure robust and scalable data infrastructure that supports analytics and machine learning workflows.
Responsibilities:
โข Own and evolve the data platform: Design, build, and maintain scalable, reliable data pipelines and datasets that power analytics, reporting, and machine learning use cases across the company.
โข Build and maintain ETL/ELT pipelines: Develop production-grade pipelines that ingest data from transactional systems, third-party providers, and event streams into our data warehouse and feature store.
โข Enable analytics and business teams: Partner with Data Analytics and stakeholders to ensure data is well-modeled, documented, and accessible for self-service analysis.
โข Support machine learning workflows: Build and maintain feature pipelines and feature stores that support model training, validation, and online/offline inference.
โข Ensure data quality and reliability: Implement data quality checks, monitoring, alerting, and SLAs to ensure trust in our data products.
โข Improve developer experience: Build tooling, abstractions, and CI/CD pipelines that make it easier and safer to develop, test, and deploy data pipelines.
โข Collaborate cross-functionally: Work closely with Software Engineers, ML Engineers, and Product Managers to align data models and pipelines with product and business needs.
โข Scale for growth: Continuously improve performance, cost efficiency, and scalability of our data infrastructure as data volume and use cases expand.
Qualifications:
Required:
โข At least 5 years of experience in data engineering, software engineering, or backend engineering roles with significant ownership of production data systems.
โข Strong proficiency in Python for building data pipelines and infrastructure.
โข Advanced SQL skills and deep experience with data modeling for analytics and ML use cases.
โข Hands-on experience building ETL/ELT pipelines using tools or frameworks such as Airflow, AWS Glue, dbt, or similar orchestration systems.
โข Experience working with cloud data warehouses and query engines such as Athena/Presto, Redshift, BigQuery, or Snowflake.
โข Familiarity with big data or distributed processing frameworks such as Spark (or equivalent).
โข Experience designing and maintaining CI/CD pipelines for data workflows.
โข Experience with AWS (S3, IAM, Lambda, Glue, EMR, etc.) or similar cloud ecosystems.
โข Strong understanding of data reliability, observability, and best practices for production systems.
โข Ability to write clean, maintainable, and well-tested code.
โข Proven ability to work cross-functionally with Analytics, ML, and Product teams.
โข Strong communication skills to explain technical concepts to non-engineers and align on trade-offs.
Preferred:
โข Exposure to feature stores, ML data pipelines, or close collaboration with ML Engineering teams is a strong plus.
Company:
Nelo increases the buying power for consumers in LatAm. Backed by Two Sigma Ventures, Homebrew, Susa Ventures, and more. Founded in 2019, the company is headquartered in Mexico City, MEX, with a team of 11-50 employees. The company is currently Early Stage.