Python Developer (Onsite)
- Mississauga, ON, Canada
Full-time
Applications open in a new tab.
Job details
- Job type
- Full-time
- Apply by
- Posting language
- English
- Posted
Original job description
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
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
Please check out this opportunity on our career site.
Email is the best way to reach us.
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
- 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.
- 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.
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)
Please check out this opportunity on our career site.
Email is the best way to reach us.
More about this job
Responsibilities
Develop and optimize scalable data engineering solutions using Python, PySpark, and Apache Spark. Build ETL and data processing solutions that efficiently handle large volumes of data and work with Oracle, MongoDB, and Hive.
Requirements
Requires advanced Python, PySpark, Apache Spark, Pandas, and SQL/Oracle experience, along with strong Big Data Processing and ETL development expertise. NumPy experience at an intermediate level and the ability to optimize large-volume data processing are also required.
Skills
- Python
- PySpark
- Big Data Processing
- ETL Development
- Data Engineering
- Oracle
- MongoDB
- Hive
- Pandas
- NumPy
- Apache Spark
- SQL
- Data Processing Optimization
- Scalable Data Engineering
Visa sponsorship
Not detected in the job text
Categories
- Software
- Technology
- Data & Analytics
- Engineering
- Consulting
Keywords
- Python
- PySpark
- Big Data Processing
- ETL Development
- Data Engineering
- Data Processing
- Oracle
- MongoDB
- Hive
- Pandas
- NumPy
- Apache Spark
- SQL
- Large-Volume Data
- Data Processing Optimization
- Scalable Data Engineering
- IT Services
- IT Consulting