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Data Engineering Team Lead
Sin especificarTiempo completoIngeniería de datosEnterprise Software
Lead data engineering and data science efforts, combining hands-on technical leadership with team management. Build and scale the infrastructure and pipelines that support real-time pricing and machine learning products.
Responsabilidades
- Lead data scientists and data engineers building scalable, high-performance data pipelines and infrastructure.
- Design, build, and maintain batch and streaming data workflows.
- Set practices for data quality, validation, testing, and observability.
- Own and evolve data architecture to support business and product goals.
- Guide architecture, development, and deployment of mission-critical systems; contribute hands-on to key work.
- Manage sprint planning, task breakdown, code reviews, and performance feedback.
- Recruit, mentor, and develop the team.
Requisitos
- At least 4 years of data science experience, including strong Python skills, advanced SQL, and data modeling.
- At least 3 years leading and managing data engineering teams.
- Proven data scientist experience and experience designing and maintaining data platforms at hundreds-of-terabytes scale.
- Expertise with an orchestration tool such as Airflow, Prefect, or Dagster.
- Experience with a cloud platform; GCP preferred, with AWS or Azure acceptable.
- Familiarity with Docker.
- Fluent spoken and written English.
- Bachelor’s or master’s degree in mathematics, physics, statistics, or computer science.
Se valora
- Experience with Google Cloud tools such as BigQuery, Dataflow, or Pub/Sub.
- Background with machine learning pipelines or data science teams.
- Understanding of data contracts, lineage, and versioning tools.
- Knowledge of data structures and algorithms.
- Experience improving pipeline and database performance and cost.
- Experience with CI/CD pipelines and GitHub or GitLab.
- Hands-on experience with distributed frameworks such as Apache Beam or Spark.
- Exposure to airline, pricing, or GDS systems.