A
Data Engineer
Sin especificarTiempo completoIngeniería de datosData Infrastructure
Develop end-to-end cloud data solutions, pipelines, and data products, working with business stakeholders and BI, AI, and analytics teams from requirements through production.
Responsabilidades
- Develop and implement data pipelines and ETL/ELT processes.
- Build data products and organization-wide data solutions.
- Work with Databricks, Spark, and Azure.
- Develop batch and streaming processes.
- Implement data quality, monitoring, and CI/CD practices.
- Collaborate with business stakeholders and BI, AI, and analytics teams.
- Guide solutions from requirements definition through production deployment.
Requisitos
- 1–12 years of data engineering experience.
- Strong SQL and Python skills.
- Experience with Databricks and Spark.
- Experience building ETL/ELT processes in a cloud environment.
- Experience with data lakes or data warehouses.
- Familiarity with Git, CI/CD, and DataOps.
- Ability to lead tasks and projects independently.
Se valora
- Experience in enterprise organizations.
- Familiarity with data governance and data quality.
- Experience supporting AI and analytics projects.