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Scotiabank
Data Engineer SpecialistScotiabank • Ciudad Salitre, Bogota D.C., Colombia
Data Engineer Specialist

Data Engineer Specialist

Scotiabank • Ciudad Salitre, Bogota D.C., Colombia
Hace 5 días
Descripción del trabajo

ID de la solicitud: 271754 Gracias por tu interés en ScotiaTech, el nuevo e innovador centro tecnológico de Scotiabank en Bogotá. Únete a un equipo ganador que promueve la creatividad y la innovación en un entorno cambiante, donde siempre estamos comprometidos con el logro de resultados, en una cultura inclusiva, diversa y de alto desempeño. Purpose The Data Engineer Specialist designs, develops, and maintains data pipelines and infrastructure on Microsoft Azure and Azure Databricks to support the creation of scalable data products for International Banking. Reporting to the Senior Data Engineer, this role focuses on implementing robust, efficient, and secure lakehouse-based data solutions that enable data-driven decision-making and support business objectives across International Banking markets, while contributing to the migration and rationalization of legacy workloads onto the Azure Databricks target platform. Accountabilities 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. Reporting Relationships Primary Manager Direct Reports NA Shared Reports NA Dimensions NA Education / Experience / Other Information (include only those that are specific to the role) Education Bachelor’s degree in Computer Science, Data Engineering, Information Technology, Software Engineering, or a related field. A Master’s degree is considered a plus. Relevant cloud or data engineering certifications (Databricks, GCP, Azure, AWS) are considered a plus. Experience 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. Competencies Working Conditions Work in a standard office-based environment; non-standard hours are a common occurrence Ubicación(s): Colombia : Bogota : Bogota ScotiaTech es una unidad de negocio de ScotiaGBS, un grupo de empresas de Scotiabank, ubicado en Bogotá, Colombia. ScotiaTech fue creado para apoyar diversos sistemas y procesos tecnológicos del Banco. Ofrecemos un entorno de trabajo inclusivo y positivo, además de ventajas competitivas. En ScotiaTech, valoramos las habilidades y experiencias únicas que cada persona aporta y nos hemos comprometido a crear y mantener un entorno inclusivo y accesible para todos. Agradecemos a todos los candidatos por su interés en esta oportunidad profesional en ScotiaTech; sin embargo, solo contactaremos a quienes hayan sido seleccionados para una entrevista. #J-18808-Ljbffr

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Data Engineer Specialist • Ciudad Salitre, Bogota D.C., Colombia

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