Data & Analytics – Software Engineer

at  TD Bank

JOB DESCRIPTION:

Job Title: TDS Data & Analytics – Software Engineer
Job Level: Level 10
Job Type: Non-Regulated
Business/Product Group: Technology
Location: Dublin, Ireland
Position Summary: (Overview of key purpose and accountability of the role)
We are looking for a savvy Java Software Engineer (Engineer II) to join our growing team of engineers. The hire will be responsible for maintaining our current our data pipelines and be a key contributor as we design the next generation of cloud native data and analytics platform.
The ideal candidate is an experienced data pipeline builder and data wrangler who understands the Capital Markets domain and enjoys optimizing data systems and building them from the ground up. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

QUALIFICATIONS

• Undergraduate Degree
• 10+ years of relevant experience in a related field of job function
• Experience with: Java, Spring
• Experience with big data tools: Hadoop, HDFS, ADLS, ADF, Spark, Kafka, Databricks, Dremio etc
• Experience with relational SQL and NoSQL databases, including Cassandra
• Experience designing production grade, scalable applications and microservices
• Nice to have Experience in Python, Scala
• 5+ years of Capital Markets experience
• Experience working on Agile Teams

SOFT SKILLS

• Takes great personal pride in building robust software
• Strong sense of ownership
• Passionate about programming and computer science
• Enjoys working in a fast-paced environment
• Has excellent written and verbal communication skills
• Has strong customer focus

WHO WE ARE

TD is one of the world’s leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.
TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

standards requirements, then develop functional, technical and user interface designs for an application and/or system.

• Find ways to keep costs low, help come up with strategic solutions to support cost effectiveness and enhance stakeholder experience.
• Conduct code reviews to address quality, standards compliance, reusability and ease of maintenance, Operational Readiness Reviews, and support gating and review sign-offs for solution design.
• Ensure design leverages existing reusable components, traces back to business requirements, and that new modules are designed with reusability in mind.
• Keep up to date with the latest industry trends and technologies related to data engineering

• Create and maintain optimal data pipeline architecture
• Implement data products curated by our Chief Data Office, as well as custom data models for fit for use.
• Ensure data quality and integrity across various data sources and systems to ensure data accuracy, completeness, and reliability.
• Optimize data pipelines for performance and scalability.
• Provide technical support to promptly resolve escalated incidents/outages.
• Develop and document a detailed solution design, impart your subject matter expertise throughout life cycle.
• Take business, Enterprise Architecture, system performance and development

standards requirements, then develop functional, technical and user interface designs for an application and/or system.

• Find ways to keep costs low, help come up with strategic solutions to support cost effectiveness and enhance stakeholder experience.
• Conduct code reviews to address quality, standards compliance, reusability and ease of maintenance, Operational Readiness Reviews, and support gating and review sign-offs for solution design.
• Ensure design leverages existing reusable components, traces back to business requirements, and that new modules are designed with reusability in mind.
• Keep up to date with the latest industry trends and technologies related to data engineering.