Junior Data Software Engineer

We are looking for a Junior Data Software Engineer to become part of our team. In this position, you will help create modern data solutions that enable scalable analytics and support data-driven decision-making. Working alongside cross-functional teams, you will contribute to delivering dependable and efficient data infrastructure that aligns with business objectives.

Responsibilities

• Build and deploy reliable data pipelines that serve a variety of analytical and operational scenarios
• Create scalable and well-tuned ETL/ELT processes within the DATIO and AWS environments
• Combine structured and unstructured data sources to provide unified access and enable comprehensive analysis
• Apply batch and real-time processing approaches to manage diverse data workloads

Requirements

• A minimum of one year of applicable professional experience in data engineering or a comparable field
• Practical experience with DATIO – ADA for developing data solutions in enterprise settings
• Solid Python abilities, including working with libraries such as Pandas and PySpark for data handling and analytics
• Strong SQL knowledge, with a focus on query optimization and data modeling
• Preferred background in data processing using Spark to handle large-volume datasets
• Working familiarity with AWS services such as Apache Spark and Hadoop for distributed data processing
• Strong written and spoken English and Spanish at a B2 level or above

Nice to have

• Background in using AWS S3 for storing both structured and unstructured data at scale
• Knowledge of AWS Glue for creating serverless ETL processes and managing data catalogs
• Hands-on experience with AWS Lambda for building event-driven and serverless data workflows