Senior Data Engineer @ Lean Tech

Company OverviewLean Tech is a rapidly expanding organization situated in Medellín, Colombia. We pride ourselves on possessing one of the most influential networks within software development and IT services for the entertainment, financial, and logistics sectors. Our corporate projections offer a multitude of opportunities for professionals to elevate their careers and experience substantial growth. Joining our team means engaging with expansive engineering teams across Latin America and the United States, contributing to cutting-edge developments in multiple industries. As an influential player in the tech industry, we are dedicated to delivering high-value machine learning applications and robust data systems. Headquartered in a prime location, Lean Tech is poised as a leader in the fast-paced freight industry, with a strong presence in the global market. Our team thrives on curiosity and a commitment to continuous improvement, making Lean Tech the ideal setting for those passionate about data engineering and innovation.Position OverviewAs an integral member of Lean Tech's team, this role focuses on enhancing data-driven decision-making through the development and maintenance of modern data infrastructure. The primary purpose is to advance Analytics and Data Science efforts by designing and deploying data platforms and pipelines. You'll collaborate with data and software engineers and data scientists to innovate data tools and systems supporting Analytics and Business Intelligence in the dynamic freight industry. The position’s key responsibilities include building data systems and ETL/ELT pipelines, ensuring secure integration of data platforms, and pioneering data quality frameworks. This role plays a crucial part within the Data Engineering team in establishing robust data foundations, which are pivotal for high-value machine learning applications.What You Will Be DoingBuild and maintain robust ETL/ELT pipelines, ensuring efficient data extraction, transformation, and loading from diverse source systems into the data warehouse.Develop and manage data pipelines tailored to feature engineering for machine learning systems and…

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