QiBit Bogota, D.C., Capital District, Colombia We’re looking for a Data Engineer with solid experience in cloud environments to build scalable and reliable solutions aligned with business needs. If you enjoy working with cutting-edge technology, this is the right place for you! To manage, process, and organize data, as well as implement the infrastructure needed to store it properly—ensuring it is structured, accessible, reliable, and efficient for business use. Responsibilities Build data-driven solutions using cutting-edge AWS data technologies. Design and implement data pipelines to ingest, transform, and store large volumes of data. Research and propose new approaches for data storage and analytics in AWS. Maintain and optimize Data Lakes and Data Warehouses. Develop algorithms and processes that improve data accessibility and quality. Monitor system performance and identify risks or issues. Validate and implement performance improvements in collaboration with AWS teams. Collaborate with cross-functional teams (Data Science, BI, Software Engineering). Document data workflows and maintain architecture diagrams. Minimum Requirements Minimum 3 years of experience as a Data Engineer. Strong experience with Python. Solid knowledge of relational databases (SQL Server, Oracle, PostgreSQL). Hands-on experience with AWS data services (RDS, Redshift, Aurora, Athena, Glue, EMR). (Must have) Understanding of ETL processes. Agile methodology experience (Scrum, Kanban). Knowledge of PySpark and building Data Lakes/Warehouses. Familiarity with orchestration tools like Airflow or Step Functions. What We Offer Growth and career development opportunities. Access to AWS training and certifications. A collaborative culture that fosters innovation. If you’re ready to take on this challenging and rewarding role, we’d love to hear from you! Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries IT Services and IT Consulting #J-18808-Ljbffr