Data Engineer

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] Requisition ID: 261927 Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. The Data Engineer plays a critical role within the Enterprise Data & AI Technology organization—one of Scotiabank’s most significant enterprise-wide strategic initiatives. This organization drives data enabled decision making, AI innovation, and technology modernization across the Bank. Is this role right for you? In this role, you will: * You will design, build, and maintain scalable, resilient data pipelines to support the ingestion, processing, and distribution of large datasets. * You will leverage SaaS platforms and tools to develop, configure, and automate data workflows, improving efficiency across the data engineering lifecycle. * You will partner with stakeholders and product managers to gather requirements, design ingestion patterns, and onboard new data sources into the cloud data platform. * You will implement observability capabilities and continuously optimize application services and pipeline performance. * You will perform data integrity validation to ensure accuracy, reliability, and consistency of data. Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have: * Experience building data pipelines, and composable cloud-based data platforms (Azure), using Azure Data Factory, ADLS. * Experience working with Lakehouse platforms: Databricks, Unity Catalog, Auto Loader * Experience with data engineering, programming, ETL and ELT processes for data extraction and processing * Experience working with structured, semi-structured, and unstructured data. * Strong programming and scripting skills (SQL, Python, Java, Scala) * Strong knowledge of cloud infrastructure and microservices architecture * Experience in creating technical design documentations, both logical and physical view * Experience collaborating and working with DevOps, Scrum, and Product Teams * Demonstrated team player with strong communication skills and a track record of successful delivery of product development. * Solid communication skills – ability to translate complex technical problems to business language * Experience in leading and driving technical discussions * Expert at problem solving and debugging * 4+ years of experience working with Data Warehouse / Data Platforms * 4+ years of experience creating ELT / ETL data pipelines, working with structured, semi-structured, and unstructured data * 4+ years of experience working on continuous integrations and continuous deployment pipeline (CI/CD) and working with source control systems such as Github, Bitbucket, and Terraform * Must have 4+ years of experience in Cloud: Azure * Must have 4+ years of experience in Lakehouse: Databricks What's in it for you? * Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans. * Accessibility and Workplace Accommodations - We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements. * Upskilling through online courses, cross-functional development opportunities, and tuition assistance. * Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one. * Dynamic Ecosystem - Free tea & coffee, universal washrooms, and lots of space for team collaboration. * Community Engagement - No matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs. Location(s): Canada : Ontario : Toronto Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets. At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here [https://www.scotiabank.com/careers/en/careers/technical-support-for-applicants.html]. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

Design, build, and maintain scalable data pipelines for the ingestion and processing of large datasets using SaaS platforms. Partner with stakeholders to onboard new data sources and implement observability to optimize pipeline performance.

Requires over 4 years of experience with Azure, Databricks, and ELT/ETL pipelines involving structured and unstructured data. Proficiency in SQL, Python, and CI/CD tools like Terraform and GitHub is essential.

• Upskilling Through Online Courses • Cross-functional Development Opportunities • Tuition Assistance • Bonus • Flexible Vacation • Personal Days • Sick Days • Health Benefits • Free Tea & Coffee

• SQLSouhaitée
• GitHubSouhaitée
• CI/CDSouhaitée
• JavaSouhaitée
• TerraformSouhaitée
• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Azure Data Factory
• Azure Data Lake Storage
• Databricks
• Unity Catalog
• SQL
• Python
• Java
• Scala
• ETL/ELT
• CI/CD
• Terraform
• Microservices Architecture
• Data Pipeline Design
• Lakehouse Platforms
• GitHub
• Bitbucket

• Data & Analytics
• Technology
• Software
• Engineering
• Finance & Accounting

Expérience minimale

5+ ans

Langue de l’offre

anglais

Heures de travail

40 heures par semaine