Job Title: Data Engineer
Location:
Toronto, ON
Work Model:
Hybrid (3–4 Days Work From Office)
Experience Required:
6–8 Years
Role Overview
We are seeking an experienced
Data Engineer
with a strong foundation in data management principles and hands‑on expertise in building scalable data platforms. The ideal candidate will partner closely with IT and business stakeholders to analyze business, technical, and system requirements, and deliver high‑quality data solutions that support analytics, reporting, and regulatory needs across multiple lines of business.
Key Responsibilities
Data Engineering & Development
Design and develop software solutions for
retrieving, parsing, and processing structured and unstructured data .
Define and implement
scalable ETL/ELT workflows
for reporting and analytics.
Develop scripts and programs to
transform and convert data
into usable formats.
Contribute to
technical design, development, and implementation
of data‑driven applications.
Ensure
code quality, performance, scalability, and responsiveness
of applications.
Platform Operations & Support
Support project teams in
scaling, monitoring, and operating data platforms
for high availability and performance.
Collaborate with internal teams to deliver software features, provide production support, and resolve defects.
Participate in
post‑implementation reviews , sharing learnings and driving continuous improvement.
Data Governance, Lineage & Metadata
Collect and maintain
metadata and data lineage
information across systems, business processes, and data domains.
Develop and maintain
system‑level and attribute‑level data lineage documentation , including:
Data flow diagrams
Process maps
Metadata catalogs
Identify and document
data transformations
to ensure traceability and transparency of data flows.
Oversee metadata repositories and ensure lineage documentation is accurate and up to date.
Work across multiple teams to embed
metadata and lineage activities
into standard project delivery.
Collaborate with data owners, data stewards, developers, and production support teams to support
data governance requirements .
Required Skills & Qualifications
Must‑Have Experience
6–8 years
of experience in data engineering or related roles.
Minimum 4 years
of hands‑on experience in data lineage and metadata management.
Strong data domain expertise in
AML and Payments , particularly within:
Retail & Commercial Banking
Capital Markets
Wealth Management
ITS / Financial Services
Technical Skills
Proficiency in
Advanced SQL ,
Python , and other data querying languages.
Strong experience with
Big Data and Cloud Technologies , including:
Spark, Hadoop, Hive, Kafka
Snowflake, Databricks
Azure Data Lake
Elasticsearch
Strong understanding of
object‑oriented design
and
functional programming
concepts.
Experience building and supporting
high‑performance, scalable data platforms .
Soft Skills
Strong analytical and problem‑solving abilities.
Excellent collaboration and communication skills.
Ability to work across multiple teams and manage complex dependencies.
Strong documentation and knowledge‑sharing mindset.
Preferred / Nice‑to‑Have
Experience working in
regulated financial services environments .
Exposure to enterprise data governance frameworks and tools.
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