Job Description
Job Title:
Data Engineer
Location: Toronto, ON
Work Model: Hybrid (3–4 Days Work From Office)
Experience
Required:
6–8 Years
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 ResponsibilitiesData 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
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
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
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
Proficiency in Advanced SQL
, Python
, and other data querying languagesStrong 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
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
Experience working in regulated financial services environments
Exposure to enterprise data governance frameworks and tools
Experience (Years): 4-6 Essential
Skills:
• Work with project teams throughout the organization to design, implement, and manage CDN infrastructure using Akamai, to ensure high availability, performance, and scalability for customer facing applications and business processes.
• Handle multiple priorities and assignments with excellence and precision.
• Be a part of a 24/7/365 organization (some after hours support is expected as part of normal on-call rotation).
• Directly support line of business development teams, provide guidance to them on implementation and changes for customer facing applications
• Develop and maintain security protocols and measures to protect CDN infrastructure from cyber threats.
• Monitor and analyze network performance, identifying and resolving issues to optimize content delivery of critical applications.
• Collaborate with cross-functional teams to integrate Akamai CDN solutions with existing systems and applications.…
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