Teamlease Digital

Begumpet, Hyderabad

Required Technical Skill Set:Strong knowledge (L3 level) on Storage Technologies like Netapp Cluster Mode,EMC Powermax, VPLEX, XtremIO, RecoverPoint, VMAX, VNX, ECS, Unity.Strong SAN networking knowledge in Brocade and CISCO MDS SAN SwitchesGood to have: Knowledge on API modelling, creation and delivery capability to provide the Storage As A Service model for consumption of the services directly by the client .Knowledge on PURE and Scality Storage .Primary Skills:Resource should have good experience in handling Day to day Operations (L1, L2,L3) for the above provided devices.L3 level expertise is a must .Resource should be able to troubleshoot any sort of issues with his experience and bring quality production maintenance in the team .Resource should be able to train the L2/L1 resources in the team ,mentor them and bring it to their level .Resource should be ready to take Oncall support as per the shift schedule and also maintain team building culture .Resource should have good communication skills to interact with International counterparts (Language :English ).Resource should be able to collaborate well within other infra support teams and maintain high quality conversations in these interactions .Resource should be well versed with ticketing tool (Service Now ) and be able to orchestrate the policies well within the team and abide by the same .Monitoring ,Vendor Management , Health Checks would be part of Day to day Operations Resource should be able to bring in a quality approach towards Operations and identify opportunities for handling duplicate Incidents, involve in ticket remediation etc .Resource should have a sense of ownership in dealing with Incidents, Changes ,Problems and follow all the process laid out.DR Handling Resource should have good expertise in handling DRs for the customer in an effective way .Expertise in building resilient, high performance SAN , NAS, Object Storage SolutionExpertise in Implementation

Full Stack Development background with Java and JavaScript/CSS/HTML Knowledge of ReactJs/Angular is a plus Big Data Engineer with solid background with the larger Hadoop ecosystem and real-time analytics tools including PySpark/Scala-Spark/Hive/Hadoop CLI/MapReduce/Storm/Kafka/Lambda Architecture Comfortable with using the larger Hadoop eco system Familiar with job scheduling challenges in Hadoop Experienced in creating and submitting Spark jobs Experienced with Kafka/Storm and real-time analytics Core Java and Python/Scala background and their related libraries and frameworks Experienced with Spring Framework and Spring Boot Unix/Linux expertise; comfortable with Linux operating system and Shell Scripting PL/SQL, RDBMS background with Oracle/MySQL Familiarity with ORMs a plus Design, Development, Configuration, Unit and Integration testing of web applications to meet business process and application requirements Familiar with config management/automations tools such as Ansible/Chef/Puppet Comfortable with Microservices, CI/CD, Dockers, and Kubernetes Familiarity with AT&Ts ECO platform is a plus Comfortable tweaking/using Jenkins and deployment orchestration Creating/modifying Dockers and deploying them via Kubernetes