Developer

Description:

• Design, develop, test, deploy, and maintain large-scale data processing pipelines using Hadoop ecosystem (HDFS, MapReduce, Hive) and Spark.
• Collaborate with cross-functional teams to gather requirements and deliver high-quality solutions on time.
• Develop complex SQL queries to extract insights from massive datasets stored in relational databases like MySQL or NoSQL databases like MongoDB.
• Troubleshoot issues related to big data processing workflows and provide technical guidance to junior team members.
• Stay up-to-date with industry trends in big data technologies such as Apache MQ/Kafka for real-time event processing.