Analytics Engineer leading data initiatives from conception to implementation. Grupo Autoglass focuses on automotive glass and technology with opportunities for impactful data-driven decisions.
Responsibilities
Lead data projects autonomously, from requirements mapping to database modeling and the delivery of data;
Design, build and maintain robust data pipelines, ensuring efficient data transformation and storage;
Contribute to the design, documentation, maintenance, monitoring and optimization of data code and tools;
Identify opportunities for improvements and scalability in the company's ETL/ELT platform;
Translate business needs into data solutions aligned with the data platform’s strategies and tools;
Mentor team members and promote data literacy among stakeholders;
Ensure data quality and integrity by performing code reviews and quality checks.
Requirements
Bachelor's degree (completed or in progress) in technology, business administration, engineering or related fields;
Strong communication skills to interact with both technical and business stakeholders;
Experience in complex environments and working with large volumes of data;
Experience creating and maintaining data pipelines;
Experience programming with general-purpose languages (Python, R, Scala);
Experience with data storage and processing technologies and techniques (Data Lake, Data Warehouse, Data Mart);
Proficiency in SQL and/or PySpark for data modeling and for solving complex problems efficiently;
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