Cloud Data Engineer: SQL, Python & ETL Pipelines

Zimmer Biomet; Bogotá; Presencial; COP 120.000.000 - 190.000.000; Jornada completa

Descripción de la vacante

Zimmer Biomet is seeking an experienced Data Engineer to design, implement, and maintain robust data pipelines and models. You will work with SQL and Python to support analytics, reporting, and operational workflows in cloud environments.

The role requires hands-on data-engineering expertise, collaboration with architects and stakeholders, and adherence to data-governance and security practices. Expect a fast-paced, Agile delivery environment with opportunities to impact global initiatives.

Formación

• Bachelor's degree in a technical field; 5+ years designing SQL-based pipelines.
• Hands-on Python for ETL/ELT development and automation.
• Experience with Snowflake or other cloud data warehouses; cloud data-engineering practices.
• Experience with Airflow, Dagster preferred; APIs, XML/JSON, and data governance familiarity.

Responsabilidades

• Design, build, test, and maintain SQL-based data pipelines and models in Snowflake.
• Develop Python-based data processing, automation, and integration workflows.
• Ingest and process structured and semi-structured data from databases, APIs, files, SaaS and cloud storage.
• Implement ETL/ELT processes using SQL, Python, dbt and orchestration tools (Dagster, Airflow).
• Collaborate with cross-functional teams and participate in Agile ceremonies.

Conocimientos

SQL

Python

Data modeling

Cross-functional collaboration

Educación

Bachelor's degree in Computer Science / IT / Data Engineering / Analytics

Herramientas

Snowflake

Python

dbt

Airflow

Dagster

GitHub

Fivetran

Airbyte

Apache NiFi

Azure

AWS

GCP

Descripción del empleo

Zimmer Biomet is seeking an experienced Data Engineer to design, implement, and maintain robust data pipelines and models. You will work with SQL and Python to support analytics, reporting, and operational workflows in cloud environments.

The role requires hands-on data-engineering expertise, collaboration with architects and stakeholders, and adherence to data-governance and security practices. Expect a fast-paced, Agile delivery environment with opportunities to impact global initiatives.