Posted:15 hours ago|
Platform:
Work from Office
Full Time
Primary Skills: - Core Java, Spring Boot, Java2/EE, Microsservices - Hadoop Ecosystem (HBase, Hive, MapReduce, HDFS, Pig, Sqoop etc) - Spark Good to have Python.
Responsibilities:
Design, develop, and implement highly scalable and resilient backend services using Core Java, Spring Boot, and Java EE principles.Build and maintain robust Microservices architectures, ensuring efficient inter-service communication and data flow.Work extensively with the Hadoop Ecosystem, including but not limited to:HBase: Designing and interacting with NoSQL databases for large-scale data storage.Hive: Developing and optimizing data warehouses for analytical queries.MapReduce: Understanding and implementing batch processing jobs.HDFS: Managing and interacting with the distributed file system.Pig: Developing data flow scripts for large datasets.Sqoop: Importing and exporting data between Hadoop and relational databases.Develop and optimize data processing pipelines using Apache Spark for real-time and batch analytics.Collaborate with product managers, architects, and other engineers to define system requirements, design solutions, and set technical specifications.Write clean, maintainable, and efficient code, ensuring high quality and adherence to best practices.Participate in code reviews to maintain code quality and share knowledge.Troubleshoot, debug, and optimize applications for performance and scalability.Contribute to the entire software development lifecycle, including testing, deployment, and monitoring in a cloud environment.Stay up-to-date with emerging technologies and industry trends, particularly in cloud computing and big data.
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