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Data Engineer
3 months ago
Qualifications:
- Bachelors degree in any field of studies.
- Must have 2+ years professional experience
- Familiarity on Big Data and standard job configurations.
- Skills in Python, Spark, or PySpark for data processing.
- Handson experience with querying tools such as Hive, Spark, Presto.
- Willingness under Mid Shift schedule (02:00 pm to 11:00 pm)
- Monday to Friday.
Responsibilities:
- Design, develop, and manage largescale data processing systems and pipelines using big data technologies.
- Build and maintain data infrastructure to support data storage, retrieval, and processing at scale.
- Optimize and tune big data systems for performance and reliability.
- Collaborate with data scientists and analysts to understand data requirements and deliver solutions that meet those needs.
- Implement data integration and transformation processes using tools like Apache Hadoop, Spark, and Kafka.
- Monitor system performance and troubleshoot issues related to big data infrastructure.
- Ensure data quality and implement data governance practices.
- Stay updated with the latest big data technologies and industry trends to continuously enhance our data capabilities.