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Track Lead - Oracle Administration,PostgreSQL,MYSQL, MS SQL
India
Job Description
Track Lead - Oracle Administration,PostgreSQL,MYSQL, MS SQL
Others, Andhra Pradesh
Job Summary
a skilled Database Administrator (DBA) with strong expertise in open-source databases and cloud database platforms. The ideal candidate will be responsible for managing, optimizing, and maintaining high-availability database systems, primarily focusing on MongoDB, PostgreSQL, MySQL, and Azure-managed databases within the Microsoft Azure ecosystem.\r\nThe role requires strong troubleshooting skills, performance tuning experience, and familiarity with Linux environments and scripting for automation\
Key Responsibilities
Install, configure, upgrade, and maintain database systems including MongoDB, PostgreSQL, and MySQL.\r\n• Manage and administer Azure database services such as:\r\no Azure Database for PostgreSQL\r\no Azure Database for MySQL\r\no Azure Cosmos DB for MongoDB API\r\n• Monitor database performance, availability, and capacity to ensure optimal system performance.\r\n• Perform database tuning, query optimization, and index management.\r\n• Implement backup, recovery, and disaster recovery strategies.\r\n• Ensure database security, user access control, and compliance with organizational standards.\r\n• Troubleshoot database issues and provide root cause analysis.\r\n• Automate routine database operations using scripting.\r\n• Work closely with application developers and DevOps teams to support database integration and performance improvements.\r\n• Maintain documentation for database architecture, processes, and procedures\r\n
Skill Requirements
Technical Skills\r\n• Strong hands-on experience with:\r\no MongoDB\r\no PostgreSQL\r\no MySQL\r\n• Experience managing cloud databases on Microsoft Azure.\r\n• Knowledge of database backup, replication, and high availability setups.\r\n• Experience with database performance tuning and monitoring tools.\r\n• Basic to intermediate administration skills in Linux environments.\r\nPreferred Skills\r\n• Scripting knowledge using:\r\no Bash\r\no Python\r\no Shell scripting\r\n
Other Requirements
3-6 years of experience in database administration.\r\n• Hands-on experience with open-source databases in production environments.\r\n• Experience supporting cloud-based database infrastructure is preferred.\r\n
Information at a Glance
Why HCLTech?
At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.
HCLTech is a global technology company, home to more than 230,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending September 2026 totaled $14.8 billion.
Copyright © 2026 HCL Technologies Limited
From live job posts on CoreHRx, updated 14 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.
The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹10L – ₹25L a year (typical for IT Jobs in India, 873 posts).
The post asks for 3–6 Yrs experience.
It is a full time job.
Interview preparation · 60 questions
This guide is for Indian job seekers preparing for SQL rounds in data analyst, data engineer, backend developer and database roles, from freshers to experienced professionals. It has 60 questions in three levels: easy covers joins, grouping and NULLs; medium covers window functions, CTEs, indexes and isolation levels; hard covers locking, MVCC, query tuning and classic puzzles such as login streaks and medians. Answers use ANSI SQL, with MySQL 8 and PostgreSQL notes where the two differ. Write each query against your own sample tables first, then compare your result with the sample answer.
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