Job Summary: 

• Design and construct large Hadoop clusters
• Architect, deploy, accredit, and maintain the Hadoop platform
• Apply vendor-provided upgrade
• Perform scheduled maintenance, upgrade vendor versions, and IAVA patching
• Provide problem troubleshooting
• Conduct studies, analyses, and prototyping
• Take responsibility for supporting business processes
• Assume responsibility for data access and correlation.
• Autonomous data analysis and decision-making.
• Host within the security of assured systems and respective cloud networks
• Learn about all the technologies involved in the project.

Skills on Resume: 

• Hadoop Cluster Design (Hard Skills)  
• Hadoop Platform Deployment (Hard Skills)  
• Vendor Upgrade Application (Hard Skills)  
• Scheduled Maintenance (Hard Skills)  
• Troubleshooting (Hard Skills)  
• Studies Prototyping (Hard Skills)  
• Business Process Support (Soft Skills)  
• Data Analysis (Soft Skills)

Job Summary: 

• Perform all Hadoop administration activities on Hadoop clusters.
• Monitor the health of the components and generate performance reports, and provide continuous improvements.
• Solve issues related to Hadoop components by investigating and finding solutions/workarounds or creating and applying patches.
• Configure various Hadoop components, including Hive, Yarn, Spark, Kafka, Encryption, Hbase, etc.
• Configure and troubleshoot ETL/Data Science/Analytics application connections to Hadoop on the Hadoop end.
• Plan cluster resource usage, work with users on resource scheduling (Fair/Capacity Scheduler), and conduct capacity planning for cluster expansions.
• Tune and configure cluster resources in terms of VCPUs and default worker resource allocations, etc.
• Perform node administration using Ambari or similar monitoring tools like Cloudera Manager, and perform load balancing upon the addition/removal of any nodes.
• Work closely with the data engineering team and operational teams to ensure cluster stability and smooth production releases.
• Ensure that the Hadoop platform/components can effectively meet performance and SLA requirements.

Skills on Resume: 

• Hadoop Administration (Hard Skills)  
• Health Monitoring (Hard Skills)  
• Issue Resolution (Hard Skills)  
• Component Configuration (Hard Skills)  
• ETL Troubleshooting (Hard Skills)  
• Resource Planning (Hard Skills)  
• Resource Tuning (Hard Skills)  
• Node Administration (Hard Skills)

Job Summary: 

• Manage the operation of a Hortonworks Cluster of around 450+ nodes and also manage the other lower environments.
• Take responsibility for the administration, installation, and build of the cluster
• Handle user tickets related to cluster issues.
• Take responsibility for the performance improvements for users' queries.
• Cluster outage management during a crisis
• Architect, design, and build highly available, large-scale distributed systems using Hadoop Solutions
• Administer and support Hadoop clusters on Linux
• Monitor, tune, and troubleshoot issues on existing Hadoop clusters
• Configure SSL and Kerberos Security on Hadoop services
• Build and execute functional and performance testing of Hadoop, Spark, Hive, and Impala components
• Automate configuration and deployment of Hadoop clusters using Linux scripts, Chef, and Python

Skills on Resume: 

• Cluster Administration (Hard Skills)  
• Performance Tuning (Hard Skills)  
• Ticket Management (Soft Skills)  
• Crisis Management (Soft Skills)  
• Hadoop Design (Hard Skills)  
• Linux Admin (Hard Skills)  
• Automation (Hard Skills)  
• Security Configuration (Hard Skills)

Job Summary: 

• Build and support, including design, configuration, installation (upgrade), monitoring, and performance tuning of any of the Hadoop distributions.
• Supports new technologies and leverages them to provide consistency of service across streams.
• Proposes service improvements for all Big Data services supported throughout the organization.
• Documents, reviews, maintains, and shares relevant technical information within the team
• Provides technical knowledge, supports services both proactively and reactively to maintain the availability and reliability of system infrastructure, following the SLA
• Works in line with policies based on client best practices
• Actively engages during any high severity issue and drives for issue resolution
• Reviews technology changes to identify potential risks
• Maintains and supports all Hadoop clusters in all environments
• Ensures the environment is stable and accessible for all tenants
• Works with various internal and external teams on large projects, as well as working independently and providing updates on time

Skills on Resume: 

• Hadoop Support (Hard Skills)  
• Technology Integration (Hard Skills)  
• Service Improvement (Soft Skills)  
• Technical Documentation (Soft Skills)  
• Proactive Support (Soft Skills)  
• Policy Adherence (Soft Skills)  
• Issue Resolution (Soft Skills)  
• Project Collaboration (Soft Skills)

Job Summary: 

• Support all of Cheetah Digital’s Hortonworks Hadoop environments
• Build scalable, real-time time and batch data pipelines
• Assist in the provisioning, deployment, support, and maintenance of Cheetah Digital’s cloud-hosted big data platform
• Become the subject matter expert on data movement, pipeline development
• Collaborate with cross-functional teams (Engineering, Platform, Systems, DBA) to design, develop, and deploy new data pipelines that provide critical data for the next-generation cloud data platform
• Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as simple design, continuous integration, and automated testing
• Be an advocate for continuous improvement, always looking for opportunities to improve existing processes, improve quality, and performance
• Provide engineering, installation, configuration, maintenance, and on-call support in a highly transactional 24x7 global platform
• Monitor designated applications and take corrective action to prevent or minimize system downtime
• Perform the capacity planning required to create and maintain solutions, working closely with system administration staff and site reliability engineers
• Coordinate efforts during production incidents and collaborate with other internal teams on conducting root cause analysis

Skills on Resume: 

• Hortonworks Support (Hard Skills)  
• Data Pipeline Development (Hard Skills)  
• Cloud Platform Maintenance (Hard Skills)  
• Subject Matter Expertise (Hard Skills)  
• Cross-functional Collaboration (Soft Skills)  
• Lean-Agile Practices (Soft Skills)  
• Continuous Improvement (Soft Skills)  
• Incident Coordination (Soft Skills)

Job Summary: 

• Responsible for cluster management, cluster alteration and enhancement, cluster service management, including upgrade, add and remove nodes, keep track of jobs, monitor critical parts of the cluster, configure name-node high availability, schedule and configure it, and take backups.
• Work with global teams on the administration and implementation of Analytical platforms on On-prem and in GCP using cloud native big data technology stack
• Install and update various analytical tools (e.g., RStudio, Anaconda Notebooks, Tableau, SAS, and Spotfire).
• Solve issues with analytical tools and clearly explain the same to other admins and tool vendors.
• Document installations, user onboarding, and standard methodologies.
• Ensure that procedures and infrastructure details are properly documented and shared among the team.
• Interact with users continuously to address their issues and search for the optimum usage pattern to propagate.
• Solve issues, performance tuning, security remediation/patch management, and upkeep of the platforms
• Deploy/implement new instances of financial product (Customer-facing Analytical platform) in the cloud through cloud formation templates and/or on-prem setup.
• Ensure that every cluster and service is always available without performance issues, using monitoring and alerting tools
• Propose new and better ways to tackle problems from a technological view or a process view.

Skills on Resume: 

• Cluster Management (Hard Skills)  
• Cloud Platform Administration (Hard Skills)  
• Analytical Tool Installation (Hard Skills)  
• Issue Resolution (Soft Skills)  
• Documentation Management (Soft Skills)  
• User Interaction (Soft Skills)  
• Performance Tuning (Hard Skills)  
• Process Improvement (Soft Skills)