Data Engineer- AML and Payment domain

Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!; Toronto; Hybrid; CAD 90,000 - 120,000; Full time

Job summary

A leading tech company in Toronto is seeking a skilled Data Engineer to design and develop data management solutions. This hybrid role requires 6–8 years of experience, particularly in AML and Payments. Responsibilities include developing ETL workflows, supporting data platforms, and ensuring effective data governance. Candidates should be proficient in SQL and Python, with expertise in big data technologies. Strong analytical abilities and collaboration skills are essential for success in this role.

Qualifications

• 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.

Responsibilities

• Design and develop software solutions for data management.
• Define and implement scalable ETL/ELT workflows.
• Support project teams in scaling and operating data platforms.

Skills

Data Management

ETL/ELT Workflows

SQL

Python

Big Data Technologies

Data Governance

Analytical Skills

Collaborative Skills

Tools

Spark

Hadoop

Snowflake

Azure Data Lake

Job 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.