招聘
Benefits & Perks
•Salary and bonus
•Work Life balance
•CPA reimbursement
•Health benefits
•Healthcare
Required Skills
Oracle
Excel
Tableau
Finance Technology is currently looking for a talented Database Engineer for its Hyderabad office. The Database Engineer will engineer solutions for multiple database technologies, and will be responsible for fast-paced, complex distributed database environments supporting both OLTP and OLAP systems across multiple platforms. A strong candidate will be able to rapidly troubleshoot complex technical problems under pressure, implement solutions that are massively scalable, while managing multiple customer groups. Deep knowledge of Oracle Database concepts , strong administration experience, and excellent interpersonal communication skills are required.
- Key job responsibilities
- Ownership of Oracle EBS, Oracle RAC clusters, working on a variety of development and maintenance projects in coordination with project and support teams.
- Knowledge of all supporting infrastructure components, including operating systems, hardware/storage configurations and networks.
- Excellent UNIX skills and a grasp of fundamental computing concepts such as system calls, memory management and program debugging.
- Experience in system administration of LINUX, configuring storage arrays networks, disk configuration including multipath, knowledge of networking components such as Infiniband is highly desirable.
- Analyze and tune database performance for high-volume, mission-critical applications
- Design and implement robust high availability solutions (e.g., EBS Applications, Oracle RAC, Data Guard)
- Implement and maintain database security measures, including access controls and encryption with industry standards and regulations
- Design and implement scalable solutions to accommodate increasing data volumes and user loads
- Develop and maintain scripts for routine database administration tasks
- Rapidly diagnose and resolve complex technical issues in high-pressure situations
- Identify and implement best practices for database administration and engineering
Basic Qualifications
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience architecting infrastructure solutions using both Linux/Unix and Windows with specific recommendations on server, load balancing, HA/DR, & storage architectures
- Experience in managing and troublshooting network, or experience troubleshooting and debugging technical systems and experience that includes strong analytical skills, attention to detail, and effective communication abilities
- Experience with mission-critical, 24x7 operations
- 5+ years of experience in Oracle EBS, Oracle and PostgreSQL Database Administration.
- Expert knowledge of Oracle 19c, including RAC and GRID Architecture
- Proven experience in performance tuning, backup/recovery, and capacity planning for OLTP and OLAP systems
- Advanced proficiency in SQL, PL/SQL, and UNIX/Linux shell scripting
- Experience managing large-scale, geographically diverse database environments
Preferred Qualifications
- Experience leading and influencing the data strategy of your team or organization
- Experience leading large enterprise transformations with AWS/cloud services
- Experience mentoring junior database engineers
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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About Amazon

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
Employees
Seattle
Headquarters
Reviews
2.9
10 reviews
Work Life Balance
2.8
Compensation
3.7
Culture
2.5
Career
2.3
Management
2.1
35%
Recommend to a Friend
Pros
Good pay and compensation
Strong benefits package
Flexible scheduling options
Cons
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
Salary Ranges
2 data points
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0 reports
$108,330
total / year
Base
$43,332
Stock
$54,165
Bonus
$10,833
$75,831
$140,829
Interview Experience
10 interviews
Difficulty
3.7
/ 5
Duration
21-35 weeks
Offer Rate
20%
Experience
Positive 10%
Neutral 10%
Negative 80%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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