Python Developer
19 hours ago
Winnipeg, Manitoba, Canada
S M Software Solutions Inc
Full-time
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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.
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.