Senior Data Engineer
1 month ago
Summary of Responsibilities :
- Manage Hadoop infrastructure and cluster performance.
- Develop ETL and data pipelines within the Hadoop ecosystem.
- Ensure data quality, governance, and security.
- Collaborate with cross-functional teams for data processing and analytics.
- Optimize Hadoop performance and resolve operational issues.
- Automate workflows and leverage cloud-based big data solutions.
- A Hadoop Data Engineer plays a key role in managing large-scale data storage and processing systems, ensuring that the Hadoop ecosystem operates efficiently and meets the organization's data needs.
- 6+ years of experience in information technology, Minimum of 3-5 years of experience in managing and administering Hadoop/Cloudera environments.
- Cloudera CDP (Cloudera Data Platform), Cloudera Manager, and related tools.
- Hadoop ecosystem components (HDFS, YARN, Hive, HBase, Spark, Impala, etc.).
- Linux system administration with experience with scripting languages (Python, Bash, etc.) and configuration management tools (Ansible, Puppet, etc.)
- Tools like Kerberos, Ranger, Sentry), Docker, Kubernetes, Jenkins
- Cloudera Certified Administrator for Apache Hadoop (CCAH) or similar certification.
- Cluster Management, Optimization, Best practice implementation, collaboration and support.
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