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Thanks for your interest in ScotiaTech, Scotiabank's new and innovative Technology hub in Bogota. Join a purpose driven winning team that promotes creativity and innovation in a fast-paced environment, where we’re always committed to results, in an inclusive, diverse, and high-performing culture. Purpose The Senior Data Engineer will lead the design, development, and maintenance of scalable data products and pipelines on Google Cloud Platform (GCP). This role is critical in driving data-driven decision-making by building robust, efficient, and secure data infrastructure. The Senior Data Engineer will oversee a team of up to three Data Engineers, providing technical guidance and ensuring high-quality delivery of data solutions that support business objectives. Accountabilities Design, build, and optimize data pipelines and architectures on GCP to support data products, ensuring scalability, reliability, and performance. Lead a team of up to three Data Engineers, providing mentorship, technical direction, and performance feedback. Collaborate with cross-functional teams (e.g., Data Scientists, Product Managers, and Software Engineers) to understand requirements and deliver data products that align with business goals. Implement best practices for data governance, security, and compliance within GCP environments. Monitor and maintain data infrastructure, ensuring high availability, data quality, and efficient processing. Drive the adoption of modern data engineering tools and methodologies, including ETL/ELT processes, data modeling, and orchestration. Troubleshoot and resolve complex data pipeline issues, ensuring minimal downtime and optimal performance. Contribute to the evaluation and integration of new GCP services and third-party tools to enhance data capabilities. Reporting Relationships Primary Manager: Director, International Analytics Engineering Direct Reports: NA Shared Reports: NA Dimensions NA Education / Experience / Other Information Education: Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field. A Master’s degree is a plus. Experience: 7+ years of experience in data engineering, with at least 3 years focused on building data solutions in Google Cloud Platform (GCP). Proven expertise in designing and implementing data pipelines using GCP tools such as BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Composer. 2+ years of experience leading or mentoring a team of engineers, with a track record of successful project delivery. Strong proficiency in programming languages such as Python, Java, or Scala, and SQL for data processing. Hands-on experience with data modeling, schema design, and data warehousing concepts. Familiarity with CI/CD pipelines, version control (Git), and Infrastructure as Code (Terraform) is preferred. Knowledge of data governance, security practices, and compliance standards (GDPR, CCPA) in cloud environments. Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders. Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud). Knowledge of advanced statistical techniques or machine learning fundamentals. Familiarity with Agile or Scrum methodologies. Working Conditions Work in a standard office-based environment; non-standard hours are a common occurrence Location(s): Colombia : Bogota : Bogota ScotiaTech is a business unit within ScotiaGBS, a Scotiabank Group company located in Bogota, Colombia. The ScotiaTech hub was created to support different technology systems and processes of the Bank. We offer an inclusive, positive work environment, and competitive benefits. At ScotiaTech, we value the unique skills and experiences each individual brings and are committed to creating and maintaining an inclusive and accessible environment for everyone. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at ScotiaTech; however, only those candidates who are selected for an interview will be contacted. #J-18808-Ljbffr
