IT Manager, Data Info Management

2 weeks ago

Toronto, Canada TD Bank Full time

**TD Description**

Stay current and competitive. Carve out a career for yourself. Grow with us.

**Department Overview**

**Building a World-Class Technology Team at TD**

We can't afford to be boring. Neither can you. The scale and scope of what TD does may surprise you. The rapid pace of change makes it a business imperative for us to be smart and open-minded in the way we think about technology. TD's technology and business teams become more intertwined as new opportunities present themselves. This new era in banking does not equal boring. Not at TD, anyway.

**TD Data and Information Management** covers building, developing, designing, and implementing involved with tech data management solutions. Where do we begin? These experts analyze, design, develop and support TD's info management system; lead and support bank data curation; develop data road map and info management strategies; focus on complex data integration, and drive use of our data reference model. This area doesn't work in isolation. We love data and we feel the same about integration and our assignments prove it.

There's room to grow in all of it.

**About This Role**
- The Data Engineer is part of the Corporate TECE Product Family Team within Data as a Service. This role is responsible for working with internal and external technology partners to design and develop advanced analytic solutions which solve business problems, effectively communicate the findings to business and IT leaders and provide support and knowledge transfer to Analytic Developers. We are looking for an energetic data engineer, who can drive Analytics projects into completion.**Here's some of what you may be asked to perform**:

- Lead proof-of-concept solutions and prototyping for new patterns based on defined requirements and overseeing solution implementation
- Help improve data management processes - acquiring, transforming and storing massive volumes of structured and unstructured data
- Ensure compliance with internal and external data privacy standards and regulation.
- Lead developing new solutions for batch and real-time data and analytics use cases
- Ensure ETL pipelines are produced with the highest quality standards, metadata and validated for completeness and accuracy
- Coordinate stakeholders and business partners to ensure successful design and development
- Data preparation and transformation using MS Azure Tools
- Develop automation and monitoring of services in Analytics platform
- Manage project workload and ensure the development standards are respected
- Update assigned tasks in sprint management system (JIRA) and provide updates in line with agile methodologies.
- Provide on-going communications on project status and systems restrictions.
- Oversee code review and ensure high quality work to maintain standards within own area of responsibility
- Participate in project committees as necessary to provide guidance and support on Enterprise Data & Analytics technology and act as a key contact for specific business processes, projects or procedures
- Provide L3 Production Support as developer of the solution
- Skills: knowledge of database systems, ETL, Data Analytics, Big Data Processing, Cloud Computing (Azure is preferred), Jenkins, Bitbucket, Tableau/PowerBI, Spark, Critical Thinking, understanding of cloud computing development lifecycle

**Job Requirements**

**What can you bring to TD?** Share your credentials, but your relevant experience and knowledge can be just as likely to get our attention. It helps if you have:

- Bachelor's in computer science, Software Engineering, Mathematics, or other STEM majors. Master's is an asset.
- 5+ years of experience with Managerial and Project Delivery experience in Agile environment (preferred)
- Data warehousing experience (minimum 10+ years) where recent experience (~ 2 years minimum) in MS Azure Data Lake Ingestion and Curation.
- Azure skills highly preferred, including provisioning, Configuring, and Developing solutions in Azure Data Bricks, Azure Data Factory, Azure Datawarehouse etc.
- In-depth understanding of database structure principles
- Hands-on experience using MS SQL Server, Oracle or similar RDBMS platform.
- Hands-on experience in Python
- Distributed Data Processing of big data batch or streaming pipelines.
- Continuous Integration and Continuous Development where Code Deployment using DevOps tools (Git Hub, Jenkins, Azure Pipeline

Nice To Haves:

- Familiarity with data visualization tools (e.g., PowerBI, Tableau etc.)
- Data Modeling & strong analytics skills in Analytics
- Problem-solving attitude
- Highly self‐motivated, self‐directed, and attentive to detail
- Model development using analytic and statistical tools such as Python, R and Spark ML

**Additional Information**

**Join in on what others in TD Technology Solutions are doing**:

- Inspire a positive work environment and help champion quality, innovation, teamwork and service to the business.
- Learn voraciously, stret

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