Design, develop, and maintain large-scale data processing pipelines using Hadoop, PySpark, Hive, and HDfS.
Ensure scalability, reliability, and performance of big data systems by monitoring logs, troubleshooting issues, and implementing improvements.
Collaborate with cross-functional teams to gather requirements and deliver high-quality solutions on time.
Develop expertise in multiple programming languages such as Java or Python to support various projects.
Participate in code reviews to ensure adherence to coding standards and best practices.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Big Data EngineerEmployement Type: Full time