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Python Developer with SAS

  • Toronto, ON, Canada

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Original job description

Greetings!

Iris’s leading financial client is looking for Python Developer with SAS to join their team at Toronto, ON(Hybrid) location.

Job Title: Python Developer with SAS

Location: Toronto, ON(Hybrid)

Duration: Long Term

Job description:

  • Education: Bachelor’s or master’s degree in computer science, Data Engineering, Statistics, or a related quantitative field.
  • SAS Experience: 3+ years of hands-on development with Base SAS, SAS Macros, and PROC SQL.
  • Python Experience: 2+ years of production Python development, with strong proficiency in pandas, data wrangling, and relational SQL.
  • Environment & Tools: Experience working in Anaconda environments, Git/GitHub, and Linux/Unix shell scripting.
  • Analytical Skills: Strong debugging, root-cause analysis, and side-by-side data validation capabilities.

About Iris Software Inc.

With 4,000+ associates and offices in India, U.S.A. and Canada, Iris Software delivers technology services and solutions that help clients complete fast, far-reaching digital transformations and achieve their business goals. A strategic partner to Fortune 500 and other top companies in financial services and many other industries, Iris provides a value-driven approach - a unique blend of highly-skilled specialists, software engineering expertise, cutting-edge technology, and flexible engagement models. High customer satisfaction has translated into long-standing relationships and preferred-partner status with many of our clients, who rely on our 30+ years of technical and domain expertise to future-proof their enterprises. Associates of Iris work on mission-critical applications supported by a workplace culture that has won numerous awards in the last few years, including Certified Great Place to Work in India; Top 25 GPW in IT & IT-BPM; Ambition Box Best Place to Work, #3 in IT/ITES; and Top Workplace NJ-USA.

More about this job

Responsibilities

Develop with SAS and Python in a financial services environment. Work with data using pandas, data-wrangling techniques, and relational SQL, and perform debugging, root-cause analysis, and side-by-side data validation.

Requirements

A bachelor’s or master’s degree in computer science, data engineering, statistics, or a related quantitative field is required. Candidates need at least 3 years of hands-on Base SAS, SAS Macros, and PROC SQL development, plus at least 2 years of production Python development and experience with the listed data, development, and shell tools.

Skills

  • Base SAS
  • SAS Macros
  • PROC SQL
  • Python
  • Pandas
  • Data Wrangling
  • Relational SQL
  • Anaconda
  • Git
  • GitHub
  • Linux
  • Unix Shell Scripting
  • Debugging
  • Root-Cause Analysis
  • Data Validation

Visa sponsorship

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Categories

  • Software
  • Technology
  • Data & Analytics
  • Finance & Accounting

Keywords

  • Python
  • SAS
  • Base SAS
  • SAS Macros
  • PROC SQL
  • Pandas
  • Data Wrangling
  • Relational SQL
  • Anaconda
  • Git
  • GitHub
  • Linux
  • Unix Shell Scripting
  • Debugging
  • Root-Cause Analysis
  • Side-by-Side Data Validation
  • Financial Services
  • Data Engineering
  • Statistics
  • Production Development

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