Junior Data Engineer — ETL

About the role

We are seeking a Junior Data Engineer to support and enhance our ETL processes using Java and Python. The role focuses on building reliable data integration pipelines and ensuring data quality across multiple systems.

Key responsibilities

• Develop, support, and document ETL (Extract, Transform, Load) processes.
• Implement data integration and transformation workflows using Java.
• Utilize Python for data processing, scripting, validation, and automation tasks.
• Integrate data from various sources, including databases, files, APIs, and external systems.
• Identify and troubleshoot data processing, quality, and transformation issues.
• Document technical processes, assumptions, dependencies, and solutions clearly.
• Collaborate with team members on technical and data requirements.
• Communicate with clients in English when required.

Required profile

• Hands‑on experience or strong academic/project exposure with ETL processes.
• Experience using Java in data integration, backend, automation, or data processing contexts.
• Working knowledge of Python for data processing, scripting, or automation.
• Ability to understand data transformation and integration workflows.
• Strong analytical thinking, problem‑solving ability, and attention to detail.
• Ability to document work clearly and follow structured technical procedures.
• Conversational English sufficient to communicate with clients.
• Availability to work on‑site in Santo Domingo, Dominican Republic.

Required skills

• Java
• Python
• ETL processes
• SQL
• Git/GitHub
• APIs