Data Engineer transforming business data into actionable insights while ensuring quality and efficiency. Join our Digital Transformation team at Autoglass.
Responsibilities
Work on data projects autonomously, from requirements mapping to database modeling and data provisioning.
Create 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 within 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 technical and business stakeholders;
Experience in complex environments with large volumes of data;
Experience creating and maintaining data pipelines;
Programming experience 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 for data modeling and solving complex problems in an optimized way;
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