Senior Data Analyst - Disrupt

Job Description

iFood, a leading Brazilian technology company in Latin America, is seeking a Senior Data Analyst to join their Disrupt team. The ideal candidate will be passionate about technology and data, constantly seeking new knowledge and enjoying challenges. This role involves developing and implementing data pipelines, constructing effective base tables for analytical purposes, and aligning with the team to understand data structure needs. The Senior Data Analyst will also design and implement data architectures with a focus on performance and scalability, overcoming challenges in merging architectural skills and practical technical development.

Role Involves:

• Developing and implementing data pipelines, ensuring efficiency and reusability.
• Building effective base tables for analytical purposes.
• Programming in Python and PySpark, utilizing SQL, and implementing practices with Databricks tools.
• Aligning with the team to understand needs and adapt data structures.
• Designing and implementing data architectures with a focus on performance and scalability.

Requirements:

• Proficiency in Python and PySpark.
• Advanced experience in SQL.
• Knowledge of AWS tools (e.g., SageMaker, Airflow) and GitLab/GitHub.
• Familiarity with Databricks is desirable.
• Experience in developing robust pipelines.
• English for communication with international teams.

iFood Offers:

• The opportunity to work with cutting-edge technology and constant innovation.
• A dynamic and challenging environment.
• The chance to be part of a team that is always ahead.