Description : Corporate Profile TD Bank Group Headquartered in Toronto, Canada, with more than 95,000 employees in offices around the world, The Toronto-Dominion Bank and its subsidiaries are collectively known as TD Bank Group (TD).
TD offers a full range of financial products and services more than 25 million customers worldwide through three key business lines: Canadian Retail including TD Canada Trust, Business Banking, TD Auto Finance (Canada), TD Wealth (Canada), TD Direct Investing and TD Insurance U.S. Retail including TD Bank, America's Most Convenient Bank, TD Auto Finance (U.S.), TD Wealth (U.S.) and TD's investment in TD Ameritrade Wholesale Banking including TD Securities With more than 6,500 professionals operating out of 40 cities across the globe, we help clients meet their needs today and prepare for tomorrow.
Our services include underwriting and distributing new issues, providing trusted advice and industry-leading insight, extending access to global markets, and delivering integrated transaction banking solutions.
In ****, we acquired Cowen Inc., offering our clients access to a premier U.S. equities business and highly diverse equity research franchise, while growing our strong, diversified investment bank.
TD Securities in Dublin operates as TD Global Finance, offering capital markets services to corporate, government, and institutional clients, and is expanding its technology teams to support global business lines.
We are growth-oriented, people-focused, and community-minded.
As a team, we work to deliver value to our clients every day.
Dublin Tech Hub is a Centre of Excellence in TD's global technology organization.
We work with global colleagues to deliver innovative software, always striving to simplify our process, innovate with purpose, and balance the intersection of high velocity delivery and highly reliable systems.
We are passionate about Engineering excellence, and we emphasize a culture of continuous learning and collaboration.
Business Context Our offers graduates of Computer Science, Software Engineering or related fields the opportunity to work in one of TD's many lines of business.
You will have the opportunity to work on challenging projects and assignments alongside experienced colleagues.
You will receive coaching and mentorship from experienced business and technology leaders.
Our goal is to set you up for success in your career and make you as productive and impactful as possible.
We are a highly collaborative technical team and you will gain valuable experience of the Software Development Life Cycle; everything from requirement analysis, agile work practices, software development, test and deployment.
You will have access to the expertise of our innovative Engineering community where we encourage knowledge sharing and innovation.
You will have access to leadership and dedicated mentors, attend lunch and learns with the wider technology team, and take advantage of self-development opportunities.
Position Overview TDS Data Platform and Engineering team is responsible for designing and managing scalable, secure and reliable infrastructure, automate workflows and processes to improve efficiency and reduce manual effort.
Collaborate with cross-functional teams to ensure platform reliability, performance, and compliance with regulatory standards.
The team loves to add value by delivering innovative data solutions in small increments.
We are a highly collaborative agile team where everyone's perspective is heard, and as a team, we strive for ongoing improvement and learning.
We solve complex problems involving large-scale data processing and analytics by delivering technical solutions that are based on simple design, clean code, quality as a fundamental building block, and frequent user feedback.
Our data platform not only provides quick and efficient solutions but also empowers our developers, analysts, and traders to make data-driven decisions and maximize opportunities in the market.
Key technologies: The successful grad will gain experience with the following technologies: Jira/GitHub/Confluence to collaborate Java (Spring Boot) to process data and build APIs Python for analytical solutions Apache Spark and Dremio to process big data JavaScript (React or similar) to visualize data Azure Cloud Data Platform Ecosystem which includes Databricks, AKS, ADLS, ADF Kafka to move data around Github actions to build and deploy SonarQube