
Big Data Data Processing Specialist
4 days ago
Our ideal candidate is a highly skilled Data Processing Specialist with expertise in designing and implementing efficient data processing solutions using PySpark. The selected individual will be responsible for developing robust data pipelines to handle large-scale datasets, ensuring high-quality data integration and transformation.
This role requires strong analytical and problem-solving skills, as well as excellent communication and collaboration abilities to work effectively with cross-functional teams.
Key Responsibilities:
- Design and develop PySpark-based applications to process, transform, and analyze large-scale datasets.
- Implement efficient data transformation and aggregation using PySpark and relevant big data frameworks.
- Develop robust error handling and exception management mechanisms to ensure data integrity and system resilience.
- Optimize PySpark jobs for performance, including partitioning, caching, and tuning of Spark configurations.
Requirements and Qualifications:
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- 5+ years of hands-on experience in big data development, preferably with exposure to data-intensive applications.
- Strong understanding of data processing principles, techniques, and best practices in a big data environment.
- Proficiency in PySpark, Apache Spark, and related big data technologies for data processing, analysis, and integration.
- Experience with ETL development and data pipeline orchestration tools (e.g., Apache Airflow, Luigi).
- Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.
- Excellent communication and collaboration skills to work effectively with cross-functional teams.
Education:
- UG: Any Graduate
- PG: Any Postgraduate
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