15 Database Engineer jobs in India available for remote work from home. Apply for positions such as Intermediate Backend Engineer - Database Change Management, Senior Backend Engineer - Database Change Management, Senior Database Engineer and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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You will build and maintain systems to ensure safe, fast, and predictable database schema changes during upgrades for GitLab.com and self-managed customers. This involves developing testing frameworks, implementing safeguards, and collaborating cross-functionally to improve the overall upgrade experience.
Lead the design and implementation of a new dependency graph-based database migration system to improve upgrade safety and efficiency. Mentor team members and provide technical leadership while collaborating across global time zones.
The role involves full-lifecycle database administration, including provisioning clusters, tuning replication, and managing backups and recovery. The engineer will collaborate with developers on schema and query design while providing 24/7 on-call support.
Ensure the reliability, security, and performance of PostgreSQL and cloud-based database environments on AWS. Responsibilities include optimizing database operations, managing backups, and contributing to long-term reliability engineering initiatives.
Lead data integrations, ETL processes, and database operations to ensure accurate EHR data updates and warehouse loading. Develop new data architecture using AWS analytical services while ensuring security compliance with HIPAA and GDPR.
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The role involves maintaining and optimizing PostgreSQL databases to ensure high performance, availability, and data integrity. Responsibilities also include establishing service level objectives, participating in on-call rotations, and developing internal tools.
Architect and maintain scalable infrastructure solutions using Kubernetes, AWS, and modern distributed patterns while driving reliability and performance. Lead AI enablement efforts to automate infrastructure tasks and mentor engineering teams to foster operational excellence.
Convert SQL and database objects to PostgreSQL and manage the migration codebase using tools like Flyway. Validate data reconciliation between source and target databases while optimizing queries and monitoring AWS DMS.
Lead end-to-end heterogeneous database migrations from Oracle and SQL Server to PostgreSQL and Aurora PostgreSQL. This includes managing the AWS DMS/SCT toolchain, refactoring procedural business logic, and authoring comprehensive migration runbooks.
The role involves providing technical support to customers on database and platform issues, translating complex concepts into actionable guidance, and managing customer cases end-to-end. Key technical duties include troubleshooting PostgreSQL and TimescaleDB performance, optimizing queries, and investigating issues across the full technology stack including cloud and Kubernetes.
The role involves joining a talent database to be matched with software development opportunities for various global clients. You will provide expert-level AI engineering services while maintaining a professional and agile development process.
The engineer will help customers install, maintain, and scale AI solutions built on ArangoDB across various cloud and on-prem environments. Responsibilities include diagnosing technical issues, optimizing queries, and training internal and external teams.
Join a talent network to be matched with software development opportunities across various industries. Maintain confidentiality while your profile is shared with companies seeking experienced QA engineers.
You will lead a remote backend engineering team focused on database health and the modernization of GitLab's database migration system. This involves hiring and developing an India-based engineering cluster while balancing operational production health with long-term platform replatforming goals.
The Senior Database Administrator will design and implement cloud-based database solutions while ensuring high performance, security, and data integrity. They will collaborate with development teams to manage database schemas, automate pipelines, and conduct research into innovative data technologies.
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