Opens LinkedIn
- Employment type
- Full-time
- Experience level
- Lead · 10+ years
- Apply by
- Mar 31, 2027
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available
Job summary
Develop Python-based data processing and engineering solutions, including ETL workflows. Work with large-volume data and optimize processing using PySpark, Apache Spark, and related data technologies.
Job details
NOW HIRING PYTHON DEVELOPER Client: Citi Role: Python Developer Experience: 10+ Years Location: Mississauga, Canada Employment Type: Full-Time / Permanent Required Skills & Experience Strong Python development experience Core & Advanced Advanced PySpark Data Processing, Data Engineering & ETL Development Strong experience with Oracle, MongoDB & Hive Advanced optimization techniques for large-volume data processing Advanced Pandas Intermediate NumPy Advanced SQL / Oracle Advanced Apache Spark Strong coding and Big Data processing experience is mandatory Interview Process 3 Levels L1: Altimetrik Internal Panel Teams/Zoom L2: Karat Interview L3: Project Team Discussion Teams/Zoom Email: rachael@sidramtech.com hashtag#PythonDeveloper hashtag#PythonJobs hashtag#PySpark hashtag#BigData hashtag#DataEngineering hashtag#DataEngineer hashtag#ETL hashtag#ApacheSpark hashtag#Pandas hashtag#NumPy hashtag#SQL hashtag#Oracle hashtag#MongoDB hashtag#Hive hashtag#Citi hashtag#CitiJobs hashtag#MississaugaJobs hashtag#CanadaJobs hashtag#FullTimeJobs hashtag#TechJobs hashtag#ITJobs hashtag#HiringNow hashtag#OpenToWork hashtag#JobSeekers hashtag#SidramTechnologies Rachael IT Services | Development | Staffing Email: rachael@sidramtech.com Direct: 470-523-9688
What you’ll do
Develop Python-based data processing and engineering solutions, including ETL workflows. Work with large-volume data and optimize processing using PySpark, Apache Spark, and related data technologies.
Requirements
Requires 10+ years of experience and strong Python development and Big Data processing skills. Candidates should have advanced PySpark, Pandas, Apache Spark, and SQL/Oracle experience, along with experience using MongoDB and Hive.
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
- Data Processing Optimization
- Pandas
- NumPy
- SQL
- Apache Spark
- Big Data Processing
Job areas
- Software
- Technology
- Data & Analytics
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