Scalence L.L.C. · 1 week ago
Hadoop Engineer
Scalence L.L.C. is seeking a Hadoop Engineer to support NextGen Platforms built around Big Data Technologies. The role involves managing platform operations and providing subject matter expertise in Hadoop and Data Science Platform operations.
Information Technology & Services
Responsibilities
Manage platform operations across all environments, including upgrades, bug fixes, deployments, metrics/monitoring, disaster recovery, incident/problem/capacity management
Provide subject matter expertise in managing Hadoop and Data Science Platform operations, focusing on Cloudera Hadoop, Jupyter Notebook, OpenShift, Docker-Container Cluster Management and Administration
Integrate solutions with other applications and platforms outside the framework
Qualification
Required
Experience in cluster management of vendor-based Hadoop and Data Science products like Cloudera, Databricks, Snowflake, Talend, Greenfield, ELK, etc
Strong knowledge of Hadoop Architecture, HDFS, and Hadoop Cluster management
Intimate knowledge of fully integrated AD/Kerberos authentication
Hands-on experience with Unix/Linux, database management (Sybase/SQL/Oracle), Java, Python, Perl, Shell scripting, and infrastructure
Experience with automation / DevOps tools such as Ansible, Jenkins, SVN, and Bitbucket
Preferred
Certification in Cloud, Docker-Container, OpenShift Technologies
Experience in Monitoring Alerting and Job Scheduling Systems
Cloudera Admin / Dev Certification
Applicants must be able to work directly for us on W2
Benefits
Inclusive and diverse work environment
Opportunities for professional growth and development
Supportive team culture that values collaboration and innovation
Company
Scalence L.L.C.
In today’s dynamic and competitive market, success hinges on mastering three key areas: Data Intelligence, Business Resilience, and Digital Experience.
Funding
Current Stage
Late StageCompany data provided by crunchbase