Looking for a DevOps Senior Engineer in the Data Engineering team who can help us support next-generation Analytics applications over Oracle cloud.
This posting is for DevOps Senior Engineer in the Oracle Analytics Warehouse product development organization. Fully handled Cloud service that provides customers a turn-key enterprise warehouse on the cloud for Fusion Applications. The service is being built on a sophisticated technology stack demonstrating a brand-new data integration platform and the industrys most sophisticated analytical business analytics platform.
https: / / www.oracle.com / solutions / business-analytics / analytics-for-applications.html
We are looking for senior engineer with experience in supporting data warehousing products. As a member of the Product development organization, focus will be on working with development teams, providing timely support to customers and identify/implementing process automation, for cloud BI product.
BE or equivalent experience or higher degree in Computer Science / Engineering or equivalent from top university
validated experience, supporting business customers on any Cloud/On-premise BI Application
Proficiency in using Python to interact with the Apache Spark framework for big data processing
Experience in SQL/PL-SQL and excellent de-bugging skills
Experience in Diagnosing network latency and intermittent issues, Reading and analyzing log files
Good Functional Knowledge in domains like ERP, HCM, SCP and CX
Working experience with any ERP/in-demand application such as Oracle EBS, Fusion is helpful
Good programming skills in Python/Java
Exposure to cloud infrastructure, Oracle Cloud Infrastructure (OCI) is helpful
Experience in performance tuning SQL and understanding ETL pipelines
Build, Configure, Manage and Coordinate all Build and Release engineering activities
Strong logical/critical thinking and problem resolution skill
Excellent interpersonal skills
Roles and Responsibilities:
As member of Pipeline Production Operations, you will address customer issues and tickets within defined SLA s
Proactively identify and resolve potential problems in an effort to prevent them from occurring and improve the overall customer experiences
You will approach each case with a goal of ensuring Oracle Analytics products are performing at an efficient level by addressing any underlying or additional problems uncovered during each
Customer engagement.
Co-ordinate and connect with different team members to formulate the solutions to customer issues
You will ensure full understanding of the issue, including impact to customer.
You will recommend solutions to customers and follow through to resolution or escalate the case in a timely manner if no resolution can be found.
Bring together logs, configuration details and attempt to reproduce the reported issues.
Develop and improve Knowledge base for the issues and their solutions.
Participate in knowledge sharing via involvement in technical discussions and Knowledge Base documentation.
Prioritize workload based on severity and demonstrate a sense of urgency when handling cases.
Find opportunities for process improvements and automation through building right utilities/tools
Willing to be working in Shifts and weekends based on support rota.