Job Summary: We are seeking a Senior Data Engineer to design, develop, and maintain scalable and efficient data solutions, ensuring proper data ingestion, processing, and availability. Key Highlights: 1. Design and development of robust and scalable data pipelines. 2. Collaboration with Data Analytics and Data Science teams. 3. Participation in the continuous improvement of processes and standards. What does the company do? A native digital company with global presence and large-scale engineering, design, and innovation capabilities, with offices located across 18 countries in the Americas, Asia, and Europe. It has a team of over 20,000 professionals engaged in new challenges and cutting-edge projects. What do you need to join the team? We are looking for a Senior Data Engineer to design, develop, and maintain scalable and efficient data solutions, ensuring proper ingestion, processing, and availability of information for various business and analytics teams. We require at least 6 years of experience as a Data Engineer. Solid experience working with Databricks, Python, and SQL | Mandatory. Strong knowledge of PySpark and/or Scala. Experience in designing and developing data pipelines. Advanced knowledge of Cloud platforms: GCP, AWS, and/or Azure. Experience working with large volumes of data. Knowledge of best practices in data engineering. Conversational-advanced English level | Mandatory. What will you do? As a Senior Data Engineer, you will: Design, develop, and optimize robust and scalable data pipelines. Implement data ingestion, transformation, and processing workflows (batch and/or streaming). Work with large volumes of data, ensuring quality, performance, and reliability. Develop solutions using Databricks, PySpark, and Scala. Participate in designing data architectures in Cloud environments (GCP, AWS, and/or Azure). Collaborate with Data Analytics, Data Science, and business stakeholders to understand requirements and translate them into technical solutions. Optimize cloud solution costs, performance, and scalability. Ensure development best practices: version control, testing, documentation, and monitoring. Participate in code reviews and contribute best practices to the team. Collaborate on the continuous improvement of data team processes and standards. When and where will you work? You will work fully remotely from anywhere in the country, Monday to Friday, from 9 AM to 6 PM. What do they offer? Direct employment contract with the Company. Split salary: a large portion of compensation paid in USD. 100% remote work. Premium health insurance for you and your family. Free online learning platform. Extended parental/maternity leave. Discounts at private educational institutions. Discount card: clothing, food, travel, etc. In-company English training. Internal career development program across various IT domains. Multidisciplinary projects. What are the selection process stages? The selection process consists of several stages. First, you will have an interview with our Recruiters, Melina Rubio or Aldana Alvarenga, where we will discuss your professional experience and interests. Then, you will proceed to further interviews with the hiring company. The first is an HR interview to learn more about the role and an English screening. The second is a technical assessment to evaluate your expertise in depth. Finally, client-facing interviews will focus on getting to know the team and project in greater detail.