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Python Developer - Onsite

  • Mississauga, ON, Canada

Full-time

This opening has closed.

The original listing is kept below for reference.

Job details

Job type
Full-time
Closing date
Posting language
English
Posted

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Original job description

Archived listing. The details below describe a past opening.

Client: Citi - Python Developer

We are seeking an experienced Python Developer with 8+ years of experience to join Citi’s technology team in Mississauga, ON, Canada. The role focuses on advanced Python development, large-scale data processing, data engineering, ETL development, PySpark, Spark, Pandas, NumPy, SQL/Oracle, and optimization techniques for processing high volumes of data.

Role Snapshot

  • Job Title: Python Developer
  • Client: Citi
  • Office Location: Mississauga, ON, Canada
  • Position Type: Full-time
  • Work Arrangement: Onsite
  • Experience: 8+ years
  • Application Deadline: 06 Oct 2026

Key Responsibilities

  • Develop and maintain applications using Python.
  • Perform large-scale data processing using PySpark and Spark.
  • Design and develop data engineering solutions.
  • Develop ETL processes using Oracle, MongoDB, and Hive.
  • Optimize data processing solutions for large volumes of data.
  • Work with Pandas for advanced data processing and analysis.
  • Utilize NumPy for data processing and computational requirements.
  • Develop and optimize SQL/Oracle queries.
  • Apply advanced coding practices to build efficient and scalable solutions.
  • Support Big Data processing requirements and data engineering initiatives.

Required Qualifications

  • 8+ years of professional experience.
  • Strong proficiency in Python, including advanced Python development.
  • Advanced PySpark experience.
  • Advanced Spark experience.
  • Strong data processing and data engineering experience.
  • Experience developing ETL solutions using Oracle, MongoDB, and Hive.
  • Advanced experience with optimization techniques for large-volume data processing.
  • Advanced Pandas experience.
  • Intermediate NumPy experience.
  • Advanced SQL/Oracle experience.
  • Strong coding and Big Data processing experience.

How To Apply

If you are interested in this opportunity, please submit the following documents to hrsmss@smsoftconsulting.com by 06 Oct 2026:

  • Updated Resume in Word format (Mandatory)
  • References (Mandatory)

Note: Applications without the mandatory documents cannot be processed.

If this role is not suitable for you, please feel free to forward this opportunity to anyone who may be interested.

Thank you for considering this exciting opportunity with us.

Email is the best way to reach us.

You have received this message either as a result of contacting our company to express interest in employment or as a result of posting your resume in a location that can be accessed by recruiters or HR specialists, which suggests an interest in being contacted about employment opportunities.
More about this job

Responsibilities

Develop and maintain Python applications and scalable data engineering solutions, including ETL processes using Oracle, MongoDB, and Hive. Process and analyze large datasets with PySpark, Spark, Pandas, and NumPy, while optimizing SQL queries and data workflows for high-volume processing.

Requirements

Requires 8+ years of professional experience, advanced Python, PySpark, Spark, Pandas, and SQL/Oracle skills, and strong data processing and data engineering experience. Candidates should also have experience building ETL solutions with Oracle, MongoDB, and Hive, optimizing large-volume data processing, and using NumPy at an intermediate level.

Skills

  • Python
  • PySpark
  • Spark
  • Data Processing
  • Data Engineering
  • ETL Development
  • Oracle
  • MongoDB
  • Hive
  • Pandas
  • NumPy
  • SQL
  • Big Data Processing
  • Data Optimization

Visa sponsorship

Not detected in the job text

Categories

  • Software
  • Technology
  • Data & Analytics

Keywords

  • Python
  • PySpark
  • Spark
  • Pandas
  • NumPy
  • SQL
  • Oracle
  • MongoDB
  • Hive
  • ETL
  • Data Engineering
  • Data Processing
  • Big Data
  • Large-Scale Data Processing
  • Data Optimization
  • High-Volume Data Processing
  • Scalable Applications
  • Advanced Coding Practices
  • Citi
  • IT Services
  • IT Consulting

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