Data Engineering Team Lead
2 weeks ago
About the Role
We are seeking an experienced Data Engineer to lead our Hadoop cluster management efforts. As a key member of our data engineering team, you will play a crucial role in ensuring the smooth operation of our big data infrastructure.
Responsibilities
- Manage and administer Hadoop/Cloudera environments with 3-5 years of experience.
- Develop and maintain ETL and data pipelines within the Hadoop ecosystem.
- 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.
Requirements
- 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.
What We Offer
- Estimated salary: ₹1200000 - ₹1800000 per annum.
- A competitive salary range based on industry standards and location.
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