Senior Data Engineer (Scala, Spark, Python, Hadoop)

TD Centre - TD Tower - 66 Wellington Street West, Toronto, Ontario, Canada

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Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Technology Solutions

Pay Details:

$105,100 - $129,400 CAD

This role is eligible for a discretionary variable compensation award that considers business and individual performance.

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

COMPANY OVERVIEW

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 6,900 professionals operating out of 32 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.

Tell us your story. Don't go unnoticed. Explain why you're a winning candidate. Think "TD" if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

Stay current and competitive. Carve out a career for yourself. Grow with us. Here's our story: jobs.td.com

Position Overview:

As a Data Engineer in the XVA and CCR data development team, you will be responsible for designing, building, and maintaining scalable data pipelines that power our analytics and data-driven applications. You will work closely with cross-functional teams to deliver high-quality data solutions and ensure the integrity and availability of our data platforms.

 

Key Responsibilities:

 

  • Design and develop distributed data processing systems using Scala, Python and Apache Spark and Databricks.

  • Build and optimize large-scale data pipelines for batch and streaming data using Spark.

  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.

  • Maintain a real-time data processing solution build on Scala , Spark and Akka/Pekko framework.

  • Develop and maintain ETL processes to transform and integrate data from various sources.

  • Optimize and tune Spark jobs for performance and scalability.

  • Ensure data quality, reliability, and integrity through automated testing and monitoring.

  • Work with DevOps teams to deploy and manage CI/DC and data pipelines in a cloud environment.

  • Participate in code reviews and contribute to the improvement of engineering best practices.

  • Stay up-to-date with the latest technologies and best practices in data engineering.

 

Qualifications:

 

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • 5+ years of experience in data engineering with a strong focus on Python, Scala and Spark.

  • Strong understanding of data warehousing concepts and ETL processes.

  • Hands-on Experience with big data technologies such as Hadoop, Kafka, Hive and  HBase.

  • Hands-on experience with the Akka framework for building distributed systems.

  • Understanding of data communication protocol like REST and GRPC

  • Proficiency with C# for excel addins

  • Proficiency in SQL and experience with relational and NoSQL databases.

  • Experience with cloud platforms (e.g., GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes) is a plus.

  • Excellent problem-solving skills and ability to work independently and in a team.

  • Strong communication skills and ability to collaborate with cross-functional teams.

 

Preferred Skills:

 

  • Experience with cloud data platforms like Azure ADLS, Google Big query and  Databricks or equivalent. (Dremio?)

  • Experience with Apache Kafka or Confluent is a plus.

  • Experience with CI/CD pipelines and infrastructure as code (IaaC).

  • Knowledge of data governance and security best practices.

  • Knowledge of Capital Markets is a plus

  • Familiarity with machine learning and data science workflows.

  • Experience with real-time analytics and event-driven architectures.

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, stretch your thinking, share your knowledge and educate others.

  • Communicate and collaborate with both technical and non-technical professionals.

  • Cultivate winning relationships by building trust with business and technology partners.

  • Share our commitment to productivity, effectiveness and operational efficiency.

#Li-Tech

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.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:
We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.


Colleague Development
If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD – and we’re committed to helping you identify opportunities that support your goals.
 

Training & Onboarding
We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process 
We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.


Accommodation
Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement (Quebec only):

Sans Objet
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Category: Engineering Jobs

Tags: Architecture Azure Banking Big Data BigQuery CAD CI/CD Computer Science Databricks Data governance Data pipelines Data quality Data Warehousing DevOps Distributed Systems Docker Engineering ETL Excel GCP Hadoop HBase Kafka Kubernetes Machine Learning NoSQL Pipelines Python Research Scala Security Spark SQL Streaming Testing

Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Health care Startup environment

Region: North America
Country: Canada

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