Databricks + Python Data Engineer - Remote & Flexible Hours

BairesDev; Antioquia; À distance; COP 222 809 000 - 381 959 000; Plein temps

Avantages offerts par ce poste

Remote work

Competitive USD pay

Home setup provided

Flexible schedule

Parental leave

Mentorship & growth

Résumé du poste

BairesDev is seeking a Databricks + Python Engineer to build scalable data processing solutions and analytics pipelines. You'll combine data science expertise with strong Python and Databricks skills to transform raw data into actionable insights. This role offers the opportunity to work with big data technologies on modern cloud platforms.

Join a globally distributed remote team that values flexibility, continuous learning, and impactful work across international clients and projects.

Qualifications

• 3+ years of experience in data science or data engineering roles.
• Strong Python programming skills for data processing.
• Experience with Databricks platform and workflows.
• Proficiency in SQL and database technologies.
• Knowledge of Apache Spark for big data processing.
• Experience building ETL pipelines and data transformations.
• Advanced level of English.

Responsabilités

• Develop data processing workflows and pipelines using Databricks.
• Write Python code for data transformation and analysis.
• Build ETL processes to integrate data from multiple sources.
• Optimize Spark jobs for performance and scalability.
• Write SQL queries for data extraction and analysis.
• Collaborate with data scientists and analysts to deliver data-driven solutions.

Connaissances

Python

Databricks

SQL

Apache Spark

ETL

English

Description du poste

BairesDev is seeking a Databricks + Python Engineer to build scalable data processing solutions and analytics pipelines. You'll combine data science expertise with strong Python and Databricks skills to transform raw data into actionable insights. This role offers the opportunity to work with big data technologies on modern cloud platforms.

Join a globally distributed remote team that values flexibility, continuous learning, and impactful work across international clients and projects.