Design, develop, test, deploy and maintain large-scale data pipelines using Spark and Python.
Collaborate with cross-functional teams to gather requirements and deliver high-quality solutions on time.
Develop scalable data processing applications using Java-based technologies such as Spring Boot.
Troubleshoot complex issues related to big data processing, ETL processes, and database integration.
Job Requirements :
9-15 years of experience in Data Engineering with expertise in Spark, Python, Java (Spring Boot).
Strong understanding of big data processing concepts including Hadoop ecosystem components like HDFS, MapReduce, Hive etc.
Experience working with relational databases such as MySQL or PostgreSQL is required.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Software Development - OtherEmployement Type: Full time