Data Engineer- AML and Payment domain - Toronto - Astra North Infoteck Inc.

    Astra North Infoteck Inc.
    Astra North Infoteck Inc. Toronto

    2 days ago

    Description

    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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