Company description Publicis Sapient is a leading digital transformation partner, helping established organizations reimagine their future in a digitally enabled world. We empower businesses to evolve—both in how they operate and how they serve their customers—by combining a start-up mindset with modern methods and deep industry expertise. Our approach fuses strategy, consulting, and customer experience with agile engineering and problem-solving creativity to unlock real business value. With over 20,000 professionals across 53 global offices, we bring together the best of technology, data science, and human insight to design and build the products and services that people truly value. Driven by our purpose—helping people thrive in the brave pursuit of next—we are united by a shared commitment to innovation, collaboration, and continuous transformation. At Publicis Sapient, we don’t just adapt to change—we lead it. ** This opportunity is open in Mexico, Colombia & Costa Rica Overview Client is seeking an experienced ETL and Data Transport Developer with strong qualifications in Python. In this role, you will play a critical part in designing, developing, and managing data pipelines and ETL processes to support various internal applications. You will collaborate with cross-functional teams to ensure data is efficiently acquired, transformed, and delivered to meet project objectives. Your primary focus will be on managing data-related activities within the Business & Client Services Technology platform. With a hands-on, detail-oriented approach, you will address complex data challenges and foster a functional, solution-oriented mindset within the team. Responsibilities - Execute on the development and optimization of ETL pipelines and data transport solutions to enhance the Business & Client Services Technology platform. - Create technical plans and various technical documentation related to any code developed. - Collaborate with BAs/PMs to prioritize tasks and deliver on multiple concurrent data transformation projects. - Identify opportunities for efficiency and scalability across data processes by analyzing and understanding project details. - Maintain good code coverage to ensure good hygiene. - Actively engage in technical discussions to address challenges and propose innovative solutions. Qualifications - Undergraduate degree in a relevant field and experience managing complex programs with high-frequency requests and competing priorities. - Strong written and verbal communication skills, paired with excellent analytical abilities. - 6+ years of experience in data analysis, ETL development, and data transport processes. - Expertise in Python for data manipulation, profiling, and automation. - Solid understanding of computer systems, interfaces, and data workflows. - Experience managing a portfolio of data-related projects. Additional information - Experience working in startup environments. - Familiarity with Capital Markets, including a 360-degree understanding of its operations. - Knowledge of Accounting, Sub-Ledgers & Payments, FinTech, DeFi, Crypto, and Blockchain technologies. - Hands-on experience with Agile/Scrum development methodologies.