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- Employment type
- Full-time
- Posting language
- English
- Application method
- Apply on LinkedIn (LinkedIn sign-in required)
Job summary
Develop ETL processes and perform data processing and engineering using Oracle, MongoDB, and Hive. Optimize processing of large data volumes using advanced techniques.
Job details
Required Skills 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
What you’ll do
Develop ETL processes and perform data processing and engineering using Oracle, MongoDB, and Hive. Optimize processing of large data volumes using advanced techniques.
Requirements
Requires advanced Python, PySpark, Pandas, SQL/Oracle, and Spark skills, with intermediate-level NumPy skills. The posting indicates a mid-senior level role but does not specify a required number of years of experience.
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 Optimization
- Pandas
- NumPy
- SQL
- Spark
Job areas
- Software
- Technology
- Data & Analytics
- Engineering
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