Role Description

This full-time, on-site Data Engineer role is based in Medellín and focuses on designing, building, and maintaining robust data infrastructure to support analytics and business intelligence.

The Data

Engineer will develop and optimize data pipelines, collaborate with cross-functional teams to understand data requirements, and ensure data quality, reliability, and security across systems. Daily tasks include implementing ETL processes, modeling data structures for reporting and analysis, and managing data warehousing solutions to enable scalable data access. The role also involves monitoring data workflows, troubleshooting performance issues, documenting technical solutions, and contributing to continuous improvement of data engineering best practices within nearShift Group.

Qualifications

- Candidates should possess strong skills in Data Engineering and Data Warehousing for building and managing scalable data platforms.




- Candidates should possess skills in Data Modeling and Data Analytics to design effective structures and support insights-driven decision-making.
- Candidates should possess skills in Extract Transform Load (ETL) processes to create, optimize, and maintain reliable data pipelines.
- Candidates should have proficiency in SQL and at least one programming language commonly used in data engineering (e.g., Python, Java, or Scala).
- Candidates should have experience with relational and non-relational databases, and familiarity with modern data platforms or cloud services (e.g., AWS, Azure, GCP) is beneficial.
- Candidates should demonstrate strong problem-solving abilities, attention to detail, and the capacity to work collaboratively with technical and non-technical stakeholders.
- Candidates should ideally hold a degree in Computer Science, Engineering, Information Systems, or a related field, or possess equivalent practical experience.

More information: https://nearshift.co/jobs/data-engineer

📌 Data Engineer (Medellín)
🏢 nearShift Group
📍 Medellín