Opens LinkedIn
- Employment type
- Full-time
- Experience level
- Senior · 5+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available
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 and big data technologies.
Job details
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 perform data processing and engineering using Oracle, MongoDB, and Hive. Optimize processing of large data volumes using advanced techniques and big data technologies.
Requirements
Requires advanced Python, PySpark, Pandas, SQL/Oracle, and Spark skills, with intermediate-level 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
- Data Optimization
- Pandas
- NumPy
- SQL
- Apache Spark
- Big Data Processing
Job areas
- Software
- Technology
- Data & Analytics
- Engineering
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