Scotiatech is a world-class engineering group! We are seeking to modernize bank technology by delivering a trustworthy, unique, and top-quality service.We want you to be part of a Team that is always in personal and professional growth, for this reason we are looking for our new Data Engineer Specialist.What will you do?Build, test, and maintain data pipelines and ETL/ELT processes on Azure and Azure Databricks (Delta Lake, medallion architecture) to ensure reliable and efficient data flow for data products.Collaborate with the Senior Data Engineer and cross-functional teams (Data Scientists, Product Owners, Architecture, and Platform Engineering) to understand requirements and deliver high-quality data solutions aligned with international business goals.Implement data models, schemas, and transformations (dimensional and Data Vault patterns) to support analytics and reporting needs.Ensure data quality, integrity, and performance by monitoring and optimizing data pipelines, including performance tuning and cost optimization (FinOps) of Spark workloads.Adhere to and help apply data governance, security, and compliance standards within Azure environments, including Unity Catalog, role-based access control, data lineage, encryption, and key management.Troubleshoot and resolve issues in data pipelines to minimize downtime and ensure operational efficiency, performing root-cause analysis where needed.Contribute to the adoption of best practices and tools for data engineering, including documentation, automated testing, and DevOps/DataOps practices.Support the migration and rationalization of legacy workloads (including existing Google Cloud Platform estates)



onto the Azure Databricks target platform, minimizing business and regulatory risk.Stay updated on modern Azure and Databricks data engineering trends and tools to enhance pipeline capabilities.What do we offer you?Growth opportunitiesDiverse, dynamic and multicultural environmentBenefits for your financial and emotional well-beingcompetitive wagesWhat do we expect from you?ExperienceHave a B1 level of English.3-5 years of experience in Data Engineering, designing and developing scalable data solutions in cloud environments.Hands-on experience with Azure Databricks, including data pipeline development, Delta Lake, Spark, notebooks, workflows, Unity Catalog, and Lakehouse architecture.Strong proficiency in Apache Spark (PySpark) and Python for large-scale data processing.Experience building batch and streaming data pipelines using modern data engineering practices.Knowledge of data migration, cloud modernization, and platform transformation initiatives is highly desirable.Strong SQL skills and experience working with large-scale analytical databases and data warehouses.Experience with data modeling, schema design, and data warehousing concepts.Familiarity with DevOps and DataOps practices, including Git-based version control, CI/CD pipelines, automated testing, and deployment processes.Understanding data governance, security, monitoring, and observability practices within cloud environments.Experience working in Agile delivery environments and collaborating with cross-functional teams.Strong problem-solving skills and ability to troubleshoot complex data processing challenges.#J-18808-Ljbffr

📌 Data Engineer Specialist (Colombia)
🏢 ScotiaTech
📍 Colombia