At ScotiaTech, we empower strategic decision-making by providing organized and consistent data as a single source of truth. We build reusable and authoritative datasets for consumption by analytics and business teams on the cloud. Key Responsibilities: - Develop and maintain data pipelines using Cloud technologies. - Write efficient queries for exploration and automation efforts within a well-established modeling and schema design process. - Deliver and enhance new and current data products. - Effectively communicate data insights and issues to technical and non-technical audiences. - Champion a high-performance environment and contribute to an inclusive workplace. Working in a fast-paced environment, you will have the opportunity to work with advanced technologies and tools, including Terraform, CloudFormation, and Prometheus. You will also be part of a bilingual team with a working knowledge of English equivalent to B1 or higher. Requirements: - Bachelor's degree in Computer Science, Data Engineering, Information Technology, or related field. - Minimum 1-2 years of technical experience in development, debugging, and testing data (SQL and/or Python). - Experience supporting the building and maintenance of data pipelines using Cloud-based tools like DBT, Composer/Airflow, or BigQuery. - Advanced to expert-level proficiency in SQL, including complex queries, optimization, performance tuning, data modeling, schema design, and data warehousing concepts. - Medium level knowledge of scripting languages such as Python and Bash. - Able to write well-crafted, well-tested, readable, and maintainable code. - Experience working with version control tools in collaborative environments. ScotiaTech is a business unit within ScotiaGBS, a Scotiabank Group company located in Bogotá, Colombia. We offer an inclusive, positive work environment and competitive benefits. If you are self-motivated, detailed, and results-oriented, with strong problem-solving abilities and good analytical and organizational skills, we encourage you to apply online.