Top Tech Jobs & Startup Jobs in Delhi
The Associate Lead - Data & AI will drive innovation, solve complex problems, and support business growth by implementing AI solutions, managing data engineering tasks, and providing technical leadership. Responsibilities include building data pipelines, system integration, presales support, and educating teams on new tools and solutions.
The Product Owner at ProArch leads the development team to deliver Azure-based applications, supervises client interactions, manages project backlogs, and coaches agile teams. This role encompasses budget management, sprint meetings, and working closely with clients to meet their needs and ensure project success.
As an Oracle Database Administrator, you will manage and maintain Oracle databases, ensure performance and integrity, migrate databases, perform installations, upgrades, and manage backup and recovery operations. You will also stay updated with Oracle technologies and best practices while working in a 24/7 environment.
As an ETL Tester, you will ensure the quality of data processed through ETL systems by designing test cases, collaborating with stakeholders, performing data validation, and monitoring ETL jobs for discrepancies. You'll be responsible for maintaining documentation and conducting regression testing to uphold data integrity and compliance standards.
As a Senior QA Engineer, you will design, develop, and execute both automated and manual test cases, lead testing efforts, collaborate with cross-functional teams, perform various types of testing, document and communicate results, mentor junior team members, and participate in process improvements.
The Cloud Sales Executive will be responsible for developing strategic sales plans to achieve targets, identifying new business opportunities, and maintaining strong client relationships. Duties include conducting presentations, collaborating with technical teams, and delivering sales forecasts to management.
As a PLSQL Developer, you will develop and maintain PLSQL stored procedures and database structures, optimize performance, troubleshoot issues, participate in code reviews, and support business applications. Collaboration with cross-functional teams and staying updated on Oracle database features is key to the role.
As a Cloud Support Engineer, you will provide critical L1 and L2 support for clients' cloud infrastructure, troubleshoot issues related to Microsoft Azure and M365, manage email migrations, and offer guidance on cloud technologies, all while ensuring client satisfaction.
The Cloud Sales professional will sell cloud-based solutions, build client relationships, collaborate with technical teams for tailored solutions, present cloud offerings, negotiate deals, manage sales pipelines, and keep up with market trends.
The Azure Data Engineer will design, implement, and maintain data processing systems using Azure technologies, develop data engineering solutions, create data pipelines and optimize storage, and collaborate with teams to ensure data quality and scalability.
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