- 5 years of development experience
- Proficiency in Python
- Strong command of SQL and PL/SQL
- Sound understanding of data structures and algorithms
- Ability to write clean code with a focus on test-driven development
- Proficiency in the Unix operating system
- Hands-on experience with Python ML libraries like Scikit learn, sklearn, etc. is advantageous
- Effective problem-solving skills
- Familiarity with Version Control is a bonus
- Knowledge of Oracle database/GI stack is beneficial
- Self-driven and goal-oriented mindset
- Effective problem-solving and analytical abilities
- Adaptability and a strong team player
- Excellent written and verbal communication skills, with the ability to engage with individuals across the organization
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Senior Software Developer - Bengaluru, India - Oracle
Description
Design, develop, troubleshoot and debug software programs for databases, applications, tools, and more.
Career Level - IC3
Autonomous Healthcheck Framework:
In today's era of cloud and big data computing, systems that support complex IT environments are becoming larger and more intricate. With many hosts clustered into a single system or distributed among different data centers, it can be quite challenging to maintain system health and promptly address issues.
In a scenario where there are hundreds of interconnected components, even a slight misconfiguration can lead to significant problems during system operation, causing a substantial business impact. Identifying and resolving issues while managing these systems can be time-consuming and arduous.
Our team conceptualized and developed the Autonomous Health Framework (AHF) product to monitor and ensure the Oracle database infrastructure's optimal health and operation. AHF comprises various components such as Trace File Analyzer, ORAChk, EXAchk, CHM, hang manager, among others. The proactive health checks performed by EXAchk help prevent potential database infrastructure issues before they escalate into system outages.
Through scheduled runs, AHF gathers extensive data about the database systems, including versions, platforms, patches, parameters, network configurations, and disk configurations. Additionally, we have implemented analytics and machine learning models leveraging the historical data collected by the EXAchk component, enabling predictions related to resource usage and workload.
Desired Skill Set:
The ideal candidate should possess the following expertise: