Senior Java Lead Engineer at TD Bank
Toronto, ON, Canada -
Full Time


Start Date

Immediate

Expiry Date

14 Sep, 25

Salary

126800.0

Posted On

15 Jun, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Java, Hadoop, Computer Science, Communication Skills, Cassandra, Microservices, Scala, Interpersonal Skills, Spark, Ownership, Python, Kafka

Industry

Information Technology/IT

Description

JOB DESCRIPTION

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

DESIRED INTERPERSONAL 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 Securities offers a wide range of capital markets products and services to corporate, government, and institutional clients who choose us for our innovation, execution, and experience. 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 2023, 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. We are growth-oriented, people-focused, and community-minded. As a team, we work to deliver value for our clients every day.

Responsibilities
  • 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.
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