We seek a talented and communicative Data Engineer with knowledge and skills that cover the entire data lifecycle — from ingestion to delivery (serve) — as well as competencies in orchestration and infrastructure.
The ideal candidate is a hands-on professional with strong coding capabilities, experienced in DataOps practices and working within on-premises environments. This role involves building, maintaining, and optimizing scalable data solutions.
* Python:
Strong understanding of Python and its application in data processing, including libraries such as pandas
* Airflow:
Experience creating DAGs, maintaining workflows, and integrating with dbt-core
* DBT (dbt-core):
Development and maintenance of models and macros
Experience converting/migrating SQL code into dbt
* SQL Server:
Advanced knowledge, including:
o Performance tuning
o Query optimization
o Performance evaluation
* Git:
Experience with layered deployment structures aligned with infrastructure teams
* Medallion Architecture:
Operational understanding of the Medallion architecture (implementation not required)
* Nice to Have
* Kubernetes:
Intermediate knowledge (deployments, Helm, on-premise environments, and data-related use cases)
* Nifi:
Basic operational knowledge
* Spanish:
B1 level
* Data Science:
Experience with document extraction (NLP using Python)
* Programming Language: Python
* Database: SQL Server
* Transformation / Modeling: dbt-core
* Version Control / SDLC: Git
* Soft Skills
* Collaborative and proactive mindset
* Ability to work across the full data lifecycle
* Problem-solving orientation
* Ownership and autonomy in dynamic environments
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