Hadoop Developer
3 weeks ago
Job Description :
We are seeking a skilled Hadoop Developer with mandatory working experience in Elasticsearch to join our team.
The ideal candidate should have a minimum of 2 years of experience in Hadoop and Spark development.
This role will involve working with large datasets and implementing data processing solutions using Hadoop and Spark, with a particular emphasis on Elasticsearch integration.
Responsibilities :
- Design, develop, and implement data processing solutions using Hadoop and Spark technologies.
- Work closely with cross-functional teams to understand data requirements and develop scalable solutions to meet business needs.
- Implement and maintain Elasticsearch integration with Hadoop and Spark for efficient data retrieval and analysis.
- Optimize and tune Hadoop and Spark jobs for performance and scalability.
- Develop and maintain ETL (Extract, Transform, Load) processes to ingest and process large volumes of data.
- Troubleshoot and debug issues related to Hadoop and Spark applications, ensuring smooth operation of data pipelines.
- Collaborate with data engineers, data scientists, and other stakeholders to deliver high-quality solutions.
- Stay updated on emerging technologies and best practices in big data processing and distributed computing.
Skills Required :
- Minimum of 2 years of experience in Hadoop development.
- Minimum of 2 years of experience in Spark development.
- Mandatory working experience in Elasticsearch.
- Strong understanding of big data concepts and distributed computing principles.
- Proficiency in programming languages such as Java, Scala, or Python.
- Experience with Hadoop ecosystem tools such as HDFS, MapReduce, Hive, and HBase.
- Experience with Spark RDDs, DataFrames, and Spark SQL.
- Familiarity with Elasticsearch querying, indexing, and data visualization.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills.
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