Senior Data Engineer - LATAM

About the Role

We're seeking an experienced Data Engineer to help build and maintain our data infrastructure. You'll work at the intersection of data science and software engineering, creating scalable systems that transform raw data into valuable business insights.

Key Responsibilities

• Design, build, and optimize data pipelines to extract, transform, and load data from multiple sources.
• Develop and maintain data warehouse solutions and ETL processes.
• Ensure data quality, reliability, and accessibility across the organization.
• Implement data security measures and compliance with relevant regulations.
• Monitor and troubleshoot data systems to ensure optimal performance.
• Collaborate to implement machine learning models into production systems.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).
• 3+ years of experience in data engineering or related roles.
• Strong SQL skills and experience with database design.
• Proficiency in Python, Java, or similar programming languages.
• Experience with big data technologies (Hadoop, Spark, Kafka, etc.).
• Knowledge of cloud platforms (AWS, Azure, or GCP) and their data platforms (Azure Data Fabric, Redshift, etc.).
• Familiarity with data modeling, ETL tools, and data visualization.
• Experience building reports and data pipelines for PowerBI.

Preferred Skills

• Experience with CI/CD pipelines and DevOps practices.
• Knowledge of DataBricks, Snowflake, Jupyter Notebooks.
• Understanding of data governance principles.
• Experience with real-time data processing systems.
• Familiarity with machine learning deployment workflows.