Senior Data Analyst

Role Overview

The Senior Data Analyst will be responsible for developing, implementing, and maintaining data solutions, acting from information extraction to treatment, storage, and availability. The role will involve building secure, reliable, and scalable data pipelines, integrating different sources, industrial systems, databases, APIs, and data platforms.

What You Will Do

Developing solutions using Databricks, Python, SQL, and Kafka; developing, implementing, and maintaining pipelines for data extraction, transformation, treatment, and loading; integrating data from industrial systems, databases, APIs, files, and other corporate sources.

Why It Might Be a Fit

The ideal candidate will be analytical, curious, result-oriented, and capable of transforming business needs into technical data solutions. The candidate should have experience in Data Engineering, Data Science, pipeline development, backend development, or system integration.

Requirements

• Bachelor’s degree in Computer Science, Systems Engineering, Computer Engineering, Data Science, Software Engineering, Control and Automation Engineering, Mathematics, Administration, or related fields
• Professional experience in Data Engineering, Data Science, pipeline development, backend development, or system integration
• Advanced English for participation in meetings, technical documentation, and collaboration with global teams
• Practical experience with Databricks or equivalent technology
• Proficiency in Python (ETL and data analysis)
• Proficiency in SQL
• Experience with Kafka or other messaging and data streaming technologies
• Experience with Git
• Experience with ETL and/or ELT
• Knowledge of data modeling, data mapping, and integration between systems
• Knowledge of REST APIs, JSON, and unstructured data
• Knowledge of statistics, exploratory data analysis, and trend identification

Benefits

• Competitive salary
• Benefits package
• Opportunities for learning and development
• Career advancement opportunities
• Diverse and inclusive work environment

Tagged as: Data Analysis