Description
Our client is a general animal-health technology and services leader dedicated to empowering veterinary practice partners to drive improved health and financial outcomes. We bring together products, services, and technology into a single platform that connects our customers to the solutions and insights they need to work best.The Data Platform team is on a mission to build and operate a governed, analytics-ready data platform that ingests operational data, applies shared business rules, and serves as a trusted source of truth to customer-facing and internal reporting. This hands-on role contributes across the entire lakehouse architecture—from ingestion through dimensional modeling to consumption-ready facts and dimensions—delivering reliable, well-tested data products alongside senior engineers to support the organization’s strategic goals.

Requirements
QUALIFICATIONS:

Education And/Or Experience
Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or a related field, plus a minimum of 3 years of data engineering experience,



including hands-on work on production data pipelines.

In lieu of a degree, a combined 7 years of higher education and/or relevant work experience, including at least 3 years in data engineering.

CERTIFICATES, LICENSES, REGISTRATIONS

Databricks Certified Data Engineer Associate (or equivalent) preferred.

Competencies (skills And Abilities)
– Strong verbal and written communication skills, with the ability to convey technical concepts to both technical and non-technical audiences.

– Proficient SQL — window functions, MERGE/upsert patterns, and incremental processing.

– Proficiency in Python for data ingestion, orchestration, and pipeline tooling.

– Hands-on experience with Apache Spark and Delta Lake (or comparable distributed/lakehouse technology).

– Solid understanding of dimensional modeling (facts, dimensions, slowly-changing dimensions) and broader data-modeling fundamentals.

– Experien

📌 Data Engineer || Databricks3 (Buenos Aires)
🏢 Globallogic
📍 Buenos Aires