Big Data Hadoop Developer

Overview: Hi All, Role Descriptions: Must Have Technical Functional Skills In-depth knowledge of the Hadoop ecosystem including HDFS, MapReduce, Spark, Scala, Hive Expertise in Hive for data warehousing and querying large datasets. Strong experience with Apache Spark for distributed data processing and real-time analytics. Advanced proficiency in Scala programming for big data application development. Familiarity with data modeling, ETL processes, and data integration techniques. Experience with cloud platforms and big data tools (e.g., Google Big Query). Strong analytical and problem-solving skills to address complex data challenges. Basic knowledge on JAVA | Springboot Strong SQL skill. Roles Responsibilities Architect and design scalable big data solutions leveraging technologies like Hadoop, Hive, Spark, and Scala. Develop and optimize data pipelines and workflows for processing and analyzing large-scale datasets. Manage and fine-tune distributed computing frameworks to ensure high performance and reliability. Collaborate with cross-functional teams, including data engineers, analysts, and business stakeholders, to gather and define data requirements. Implement data security, governance, and compliance measures in big data environments. Diagnose and resolve technical issues in big data systems to maintain operational efficiency. Generic Managerial Skills, If any Decision Making, Problem Solving, Leadership, Time Management proficient in Java Application development, Java script and Application developemnt