**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.