| Immediate Interview, Urgent Requirement, Production Support Engineer, Remote, Lead Candidate, Hadoop exp is mandatory, Oracle, PLS SQL, Shell Scripting. at Oracle, Arizona, USA |
| Email: [email protected] |
| From: satin, Cohesive Technologies [email protected] Reply to: [email protected] Production Support Engineer Duration: 12 Months Location:Remote(Philadelphia or Phoenix AZ) Note:Lead Candidate, Hadoop exp is mandatory, Oracle, PLS SQL, Shell Scripting, architect. Job Description: Maintain highly scalable data platform and analytical solutions including but not limited to the following technologies RDBMS / Big Data / Cloud Applies knowledge of general business functions and systems to develop IT strategies, operational plans, and standards to support achievement of department, business, and corporate goals Responsible for partnership with internal and external stakeholders to ensure high-quality delivery of information technology solutions Responsible for building scalable, cost-effective, and robust strategies in support of the overall achievement of corporate, business, and department goals Responsible for implementation, integration, testing, validation, documentation, review, maintenance, and accessibility of resources which enable effective and reliable data analytics, data visualization, and business intelligence Troubleshoots and fixes issues in Oracle PL/SQL, Unix/ Linux, Python scripts Investigate and fixes issues related in Hadoop Ecosystem Cloudera CDP (Preferred), HiveSQL, Impala, Apache Spark (PySpark) with complex logics and deliver the data to client within agreed amount of time to meet the service level agreement Performance tune the SQL/ Hadoop loads with both batch and near real-time data movements to ensure timely delivery Acts as technical subject matter expert for PL/SQL with Unix shell coding, Python, Hadoop Ecosystem, Cloud platforms in various projects Monitoring and troubleshooting the scheduled jobs using Autosys Monitoring and troubleshooting issues with the data loads to S3, Athena databases in the Cloud Solves any issues with the performance and functionality on all the production applications Ensures daily deliverables complete in time for clients and monitors schedules that involves adjusting the priority of the jobs, usage of space, memory, and resources Provides optimal solutions through understanding of the Enterprise Data warehouse (EDW) Resolving production issues and effectively communicates with stakeholders with root cause analysis, actions taken, required changes, or new requirements and mitigation plan Automates any repeated manual process using Autosys scheduler and Unix/ Linux Discuss all production support aspects with the offshore/ onshore team and provide status updates to management What You Need : 8 Years of work experience in IT industry including 2 years in IT Production Support Work with onshore, offshore to an SLA and execution of critical situations Experience in working with development teams, production control, job scheduler (Autosys) and coordinating with multiple departments within the organization 24x7 Support environment 5 Years of experience in Oracle PL/SQL, UNIX / LINUX/ Python Scripting 2+ years of experience in Hadoop Ecosystem Hive, Impala, Pyspark. (Cloudera CDP Preferred) 2+ years of experience in scheduling Autosys jobs Knowledge in cloud platform/ tools (S3, Athena) concepts and trends. AWS preferred Experience with software Engineering best practices, including but not limited to version control (GitHub Preferred) Strong customer service skills Excellent interpersonal, written and oral communication skills. Satin Harper Talent Acquisition Partner Phone:(470) 668- 2233 www.cohetech.com LinkedIn ID :https://www.linkedin.com/in/satin-harper-0b9393229/ |
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| Fri Nov 04 17:51:00 UTC 2022 |