Python Developer (Onsite)

Job summary

Design, develop, and optimize scalable data engineering and ETL solutions using Python, PySpark, and Apache Spark. Process large volumes of data and work with Oracle, MongoDB, Hive, Pandas, and NumPy.

Job details

Client: Altimetrik – Python Developer We are looking for a highly skilled Python Developer with strong expertise in Python programming, PySpark, Big Data Processing, and ETL development. The ideal candidate should have advanced-level experience in handling large volumes of data, developing and optimizing data processing solutions, and working with technologies such as Oracle, MongoDB, Hive, Pandas, NumPy, and Apache Spark. The successful candidate must possess strong coding knowledge and the ability to design, develop, and optimize scalable data engineering solutions. Role Snapshot Job Title: Python Developer Client: Altimetrik Work Location: Mississauga, Ontario, Canada Work Arrangement: Onsite Employment Type: Full-Time Required Technical Skills Strong knowledge of Python (Core and Advanced), with advanced Python skills preferred. Advanced-level experience with PySpark, including: Data Processing Data Engineering ETL Development Working with Oracle, MongoDB, and Hive. Advanced optimization techniques for processing large volumes of data. Advanced-level experience with Pandas. Intermediate-level experience with NumPy. Advanced-level experience with SQL/Oracle. Advanced-level experience with Apache Spark. Additional Requirements High-level coding knowledge is mandatory. Strong experience in Big Data Processing is a must. Ability to handle and optimize large-volume data processing requirements. How to Apply If you find this opportunity aligns with your career goals and interests, we kindly request that you send your documents to hrsmss@smsoftconsulting.com by November 11, 2026, at your earliest convenience. Mandatory Documents Updated Resume in Word format (Mandatory) Skills Matrix and References (Mandatory) Expected Hourly Rate (Mandatory) We cannot proceed with the submission without the mandatory documents. Please check out this opportunity on our career site. Email is the best way to reach us.

What you’ll do

Design, develop, and optimize scalable data engineering and ETL solutions using Python, PySpark, and Apache Spark. Process large volumes of data and work with Oracle, MongoDB, Hive, Pandas, and NumPy.

Requirements

Requires advanced Python, PySpark, Pandas, SQL/Oracle, and Apache Spark experience, along with strong coding knowledge and Big Data Processing expertise. Candidates must be able to handle and optimize large-volume data processing requirements; NumPy experience at an intermediate level is expected.

Listed skills

• Python · Preferred
• Oracle · Preferred
• MongoDB · Preferred
• SQL · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

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

Job areas

• Technology
• Software
• Data & Analytics
• Consulting

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