Data Engineer

Location: Montreal (day 1 onboarding onsite /in-office presence required 3x/week)
Our Client is seeking a highly skilled Data Engineer with over 4+ years of experience to join our
team to help a strategic banking client in various data transformation activities.
The Client:
A leading global financial services firm providing a wide range of investment banking, securities,
investment management and wealth management services. The Firm's employees serve clients
worldwide including corporations, governments and individuals from more than 1,200 offices in
43 countries.
The Client Function/Team:
Counterparty Data and Regulatory Technology (CDRT) team has commenced on several
strategic initiatives to better our technology and data platform. As a senior data engineer in
CDRT, you'll be part of an agile team dedicated to breaking the norm and pushing the limits of
innovation. You will be involved in detailed technical design, development and implementation
of applications using emerging technology platforms.
Who You Are
Want to be part of cutting edge, high visibility projects and are motivated by delivering world class solutions on an aggressive schedule
Someone who is not intimidated by challenges; thrives under pressure; is passionate about
their craft and focused on delivering exceptional results
Enjoy learning new technologies and raise the bar on your team
Enjoy working with technical and non-technical stakeholders for delivery of software systems
Enjoy working with and managing junior developers
What s the Role
Collaborating and leading part of a cross-functional Agile team to create and enhance
software for data ingestion and entity resolution platform
Expertise in application, data and infrastructure architecture disciplines
Working with large, complex data sets from a variety of sources
Participate in the rapid development of user-driven prototypes to identify technical
options and inform multiple architectural approaches
Building efficient storage and search functions over structured and unstructured data
Utilizing programming languages Python, Java, Scala, Relational and NoSQL databases
Learning newer technologies for entity resolution such as Quantexa platform
Basic Qualifications
Proven track record of a minimum of 4 years in management, in a space with strong
focus on large scale data processing and instrumentation.
Strong coding background, ideally in Java/ Python / Scala
Strong working knowledge of engineering best practices & big data ecosystem..
Experience in at least one big data product: Databricks, Elasticsearch, Snowflake
Experience building batch / real time data pipelines for production systems.
Experience with Relational and Non-Relational DBs like DB2, MongoDB
Experience with various data formats: Parquet, CSV, JSON, XML, Relational Data
Strong familiarity with Kafka, Spark, Hadoop, Iceberg, Airflow, Data Modeling, relational
databases, columnar databases
Previous working experience in large scale distributed systems.
Strong familiarity with software engineering principles, including object-oriented and
functional programming paradigms, design patterns, and code quality practices.
Excellent communication skills, with the ability to effectively collaborate with cross functional teams and explain technical concepts to non-technical stakeholders.
Desired Qualifications
Experience with Rest based applications
Experience with Databricks/ Delta Lake

• Experience with client reference data sourcing from vendors