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Senior Data Analyst (SQL & Python) in Hyderabad, India - Jobeax

Senior Data Analyst (SQL & Python) in Hyderabad, India is listed on Jobeax. Browse 30,000+ vacancies available.

About Inspire Brands: Inspire Brands is disrupting the restaurant industry through digital transformation and operational efficiencies. The company's technology hub, Inspire Brands Hyderabad Support Center, India, will lead technology innovation and product development for the organization and its portfolio of distinct brands. The Inspire Brands Hyderabad Support Center will focus on developing new capabilities in data science, data analytics, eCommerce, automation, cloud computing, and information security to accelerate the company's business strategy. Inspire Brands Hyderabad Support Center will also host an innovation lab and collaborate with start-ups to develop solutions for productivity optimization, workforce management, loyalty management, payments systems, and more.
We are excited to announce an opening for Franchise Administrator at Inspire Brands. Perform setting up, deploying, and maintaining Azure SQL, MongoDB, SQL Server and Snowflake cloud platform and administration.
Manage security and access controls and tune Azure SQL, SQL server and Snowflake for performance and optimize utilization.
Build high quality solutions and establish design patterns to implement, monitor & maintain complex Snowflake and Azure Data bricks solutions. Implement CICD pipelines for the Cloud Databases deployment.
Configure and maintain database servers and processes, monitoring of system health and performance, to ensure high levels of performance, availability, and security.
Configure and Complete understanding of Azure Data bricks cluster management, Snowflake architecture and Azure SQL.
Identify and Troubleshoot performance bottlenecks and optimize the problematic SQL queries in Azure SQL
Perform DR and DB restore activities and must have strong programming experience in SQL, Terraform, and Python.
Experience in Configuration changes and Upgrades. Collaborate with application/migration teams with database activities.
Should have knowledge of on how data get processed and consumed in Data Platform and how to automate the completed process.
Provides migration of database elements and online application components from development to the production environment.
Redesigns databases to address change in business needs. Should have experience in python & GitHub.
Performs database tuning and makes recommendations to optimize application performance.
Collaborate with the development and maintenance of standards, processes, policy and procedures.
Performs support, as required, adhering to on-call processes and problem escalation processes.
Work as a member of Database Administration Team to provide 24x7 support for critical production systems.
Perform scheduled maintenance and support release deployment activities after hours.
Share domain and technical expertise, providing technical mentorship and cross-training to other peers and team members.
Design, develop, and support database automation solutions using PowerShell, Python, Terraform, Azure Automation, and CI/CD pipelines to improve operational efficiency, reduce manual effort, and standardize database administration processes.
Configure, maintain, and support AI/Copilot-based operational agents for database monitoring, health analysis, incident response, query performance analysis, and automated operational workflows.
Develop intelligent automation and self-healing solutions for cloud database platforms including Azure SQL, Snowflake, MongoDB, and Databricks environments.
Implement proactive monitoring, alerting, forecasting, and automated remediation processes for database performance, storage utilization, security compliance, and operational health.
Collaborate with DevOps, Data Engineering, and Application teams to integrate automation frameworks, AI agents, governance controls, and Infrastructure-as-Code standards across enterprise database platforms.

BS/BA degree in IT or related field preferred; equivalent experience may be substituted in lieu of education

EXPERIENCE QUALIFICATION:

6+ years Administration on SQL Server, MongoDB and Snowflake experience required.
6+ years of SQL Server and performance tuning experience is required.
8+ years of IT Support experience in an enterprise environment
Experience with performance tuning and optimization, using native monitoring and troubleshooting tools.
Experience with backups, restores and recovery models
Knowledge of High Availability (HA) and Disaster Recovery (DR) options for Snowflake, Data Bricks, Azure SQL, MySQL.
Experience working with Windows server, including Active Directory
Participate in 24X7 Support DBA On call Rotation.
Ability to commute to work onsite 5 days a week.
Experience with database automation using PowerShell, Python, Terraform, Azure Automation, GitHub Actions, or similar orchestration tools.
Experience configuring and supporting AI/Copilot agents, operational assistants, or intelligent monitoring solutions for database and cloud platform environments.
Experience with Infrastructure-as-Code (IaC), CI/CD automation pipelines, and cloud-native operational tooling.
Experience implementing proactive monitoring, operational analytics, performance forecasting, and automated remediation solutions.
Database Professional certifications a plus

Equal Employment Opportunity Policy: It is the policy of Inspire Brands Inc.™ ('IRB' or the 'Company') to treat all employees and applicants for employment fairly and to provide equal employment opportunities without regard to race, color, sex, religion, national original or ancestry, ethnicity, sexual orientation, gender identity, age, disability, genetic information, citizenship, military service or veteran status, marital status or any other characteristic protected under applicable federal, state, or local law. This policy applies to all employment practices including recruiting, hiring, placement, pay, promotions, transfers, training, leaves of absence, and termination. Inspire Brands, Inc. expressly prohibits any form of unlawful employment harassment based on race, color, sex, religion, national original or ancestry, ethnicity, sexual orientation, gender identity, age, disability, genetic information, citizenship, military service or veteran status, marital status or any other characteristic protected under applicable federal, state, or local law.

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