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Job summary
Develop ETL processes and data engineering solutions using Python, PySpark, Oracle, MongoDB, and Hive. Process large volumes of data and apply advanced optimization techniques.
Job details
Role: Python Developer Location: Mississauga, Canada - Locals Preferred Fulltime Python (core & Advance preferable), PySpark (Advanced Level)- Data processing, Engineering, ETL Development(using Oracle, mongo, Hive), Advanced Optimization Techniques for processing Large volume of data. Pandas - Advanced level, NumPy - Intermediate Level SQL/Oracle - Advanced Level Spark - Advanced level High level of coding knowledge and Big data processing requirement is must..
What you’ll do
Develop ETL processes and data engineering solutions using Python, PySpark, Oracle, MongoDB, and Hive. Process large volumes of data and apply advanced optimization techniques.
Requirements
Requires advanced Python, PySpark, Pandas, SQL/Oracle, and Spark skills, with intermediate NumPy knowledge. Strong coding ability and experience with big data processing are essential.
Listed skills
- Python · Preferred
- Oracle · Preferred
- MongoDB · Preferred
- SQL · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Python
- PySpark
- Data Processing
- Data Engineering
- ETL Development
- Oracle
- MongoDB
- Hive
- Big Data Processing
- Pandas
- NumPy
- SQL
- Apache Spark
- Data Optimization
Job areas
- Software
- Technology
- Data & Analytics
- Engineering