Data Engineering Applications Associate Etl
hace 5 días
**Requisition ID**: 217401
We are committed to investing in our employees and helping you continue your career at ScotiaTech.
**Purpose**
The ETL Developer will contribute to the overall success of the Global Enterprise Technology - Corporate Security globally by designing and implementing end to end ETL solutions from data analysis, data modeling to ETL.
**Accountabilities**
- Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
- Build best in class ETL solutions, and will be working closely with Product Owners, Developers, Scrum Masters, Project Management and Stakeholders.
- Analyze highly complex business rules and logic and translating those into technical implementations
- Perform data wrangling to merge disjointed data sources and implement complex data transformation
- Develop ETL process using MS SQL Server BI stack, SQL Server Integration Services and MS Azure Data Factory to ingest, transform, cleanse and load data into on-prem SQL Server 2017, 2019 and/or Azure SQL DB
- Conduct source data analysis and profiling to complete source to target mapping
- Logical and physical data modeling to develop highly optimized data infrastructure for fast querying of large volume of data - Assure data quality, security, and compliance requirements are met
- Provide proactive support and maintenance to the existent ETL solutions to keep them at its best of quality
- Take ownership of bugs, defects, enhancements or any assignment end to end
- Understand how the Bank’s risk appetite and risk culture should be incorporate into in day-to-day activities and decisions.
- Actively pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
- Champions a high-performance environment and contributes to an inclusive work environment.
**Education / Experience / Other Information**
- Bachelor's degree in a technical field such as computer science, computer engineering or related field required
- 3 years of experience in designing, developing, and deployment of large-scale data warehouse projects from end to end
- Expert knowledge and hands on experience with SQL Scripting: 3 years
- Expert knowledge working with SQL Server SSIS, Integration Services Catalog and project deployment and Azure Suite - 3 years
- Experience working with Agile methodology - 3 years
- Experience working with BitBucket or TFS, and creating DevOps pipeline (preferred)
- Working knowledge of dimensional data modeling methodology
- Strong English verbal and written communication skills
- Nice to have Skills:
- Experience working with data warehouse within Google Cloud Platform Degrees or certifications
- Experience in Splunk (SPL)
- Power BI
- B1+ level of English.
**Working Conditions**
Work in a standard office-based environment; non-standard hours are a common occurrence.
LI-Hybrid
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