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Artech LLC
Data EngineerArtech LLC • Toronto, ON
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Data Engineer

Data Engineer

Artech LLC • Toronto, ON
11 days ago
Job type
  • Permanent
Job description

Job Title: Data Engineer
Location: Toronto, Ontario
Duration: 12 Months

Introduction

We are seeking an experienced Senior Consultant to lead the strategic migration of legacy SAS applications to a modern Python-based ecosystem. This role involves spearheading the end-to-end code conversion and validation of critical financial models, ensuring flawless accuracy, regulatory compliance, and seamless integration with our Enterprise Data Lake infrastructure.

Required Skills & Qualifications

  • 5 years of experience in SAS migration and data migration, preferably from financial institutions.
  • Advanced expertise in SAS and Python, with proven SAS-to-Python migration experience.
  • Proficiency in data profiling, validation, and quality assurance.
  • Data lineage mapping and data dictionary development expertise.
  • Strong understanding of IFRS9 modeling and credit risk analytics.
  • Parallel testing and validation capabilities.
  • Excellent technical documentation and communication abilities.
  • Proven ability to work with teams and deliver on-time.
  • Post-conversion support and maintenance capability.
  • Prior work experience in the client's industry.

Preferred Skills & Qualifications

  • Experience with regulatory compliance and auditability.
  • Experience with Enterprise Data Lake infrastructure.
  • Experience in conducting structured training sessions for knowledge transfer.

Day-to-Day Responsibilities

  • Translate existing SAS scripts into Python for critical deliverables including IFRS9 Model, Risk Campaigns, and Reporting and Analytics. Ensure logic accuracy and functional equivalence, optimizing code for performance and maintainability in the Python environment.
  • Execute simultaneous runs of legacy SAS and new Python processes to verify identical outputs and mitigate transition risks.
  • Leverage advanced data mining techniques and statistical modeling methodologies to extract, analyze, and validate complex datasets within the IFRS9 and Risk Management domains.
  • Create a comprehensive data dictionary and establish end-to-end data lineage, documenting data origin, transformation, and movement throughout its lifecycle to support regulatory compliance and auditability.
  • Conduct structured training sessions with permanent staff to ensure seamless sustainment.
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Data Engineer • Toronto, ON

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