[Only Argentina, Chile, Uruguay, Perú, Colombia]

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.

– Experience building and maintaining batch and/or incremental pipelines, including monitoring and troubleshooting.

– Understanding of architectural trade-offs — when to favor batch, incremental, or streaming approaches, and how each balances data freshness, latency, cost, and operational complexity.

– Willingness to collaborate, share knowledge, and grow toward greater technical ownership.

– Working experience with Databricks (declarative pipelines / Delta Live Tables, serverless SQL warehouses, Unity Catalog, job orchestration) preferred.

– Exposure to streaming and event-driven architectures (e.g., Kafka) is a plus.

– Familiarity with Terraform / Infrastructure-as-Code is a plus.

– Experience supporting BI/reporting consumers (e.g., Power BI, embedded customer-facing reports) and turning business rules

📌 Data Engineer | Databricks (Argentina)
🏢 Globallogic
📍 Argentina