Hadoop Developer with Java
1 month ago
Job Description:
We are seeking a skilled and experienced Hadoop Developer with expertise in Java and Kafka to join our team. The ideal candidate will play a crucial role in designing, developing, and maintaining our Hadoop-based data processing and analytics solutions while leveraging Java and Kafka for efficient data ingestion and processing.
Responsibilities:
- Hadoop Development: Design, develop, and maintain Hadoop-based data processing applications, workflows, and pipelines.
- Java Integration: Utilize Java to build and enhance data processing components and services within the Hadoop ecosystem.
- Kafka Integration: Implement Kafka-based data ingestion and streaming solutions to efficiently handle real-time data.
- Big Data Processing: Leverage Hadoop technologies such as HDFS, MapReduce, Spark, Hive, and HBase for batch and real-time data processing.
- Data Ingestion: Develop and optimize data ingestion processes, ensuring data is collected, transformed, and loaded into the Hadoop cluster efficiently.
- Performance Optimization: Monitor and optimize the performance of Hadoop jobs and data pipelines to ensure scalability and efficiency.
- Data Transformation: Transform and prepare data for analysis, ensuring data quality, integrity, and compatibility with downstream applications.
- Kafka Streaming: Design and implement Kafka-based data streaming solutions, handling large volumes of real-time data.
- Troubleshooting: Identify and resolve data processing and Kafka-related issues in a timely manner.
- Collaboration: Work closely with data engineers, data scientists, and other cross-functional teams to understand data requirements and deliver effective solutions.
- Documentation: Create and maintain comprehensive documentation of Hadoop configurations, Java code, Kafka setups, and data processing workflows.
- Security: Implement and maintain security measures to protect sensitive data within the Hadoop ecosystem and Kafka clusters.
Requirements
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- Key skills required: Java, Hadoop, Spark, Kafka, SQL, ETL tools, good to have cloud knowledge
- Proven experience as a Hadoop Developer with strong Java and Kafka skills.
- Proficiency in Java programming for building data processing applications.
- Hands-on experience with Hadoop ecosystem components (HDFS, MapReduce, Spark, Hive, HBase).
- Familiarity with Kafka for data streaming and ingestion.
- Strong knowledge of data transformation and ETL processes.
- Excellent problem-solving skills and attention to detail.
- Effective communication skills to collaborate with team members and stakeholders.
- Experience with data security and compliance is a plus.
- Ability to work in a fast-paced, dynamic environment and adapt to changing technologies and project requirements.
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