Top Tech Jobs & Startup Jobs in Bengaluru, KA

Demonstrates full use and application of data science principles, methods, and concepts. Provides solutions to difficult problems through data science research. Identifies novel approaches to data science solutions. Contributes to refining and deploying data science solutions.

Responsible for directing and monitoring technology operations, supporting hardware, providing service desk support, and enabling application development teams to achieve objectives. Competent in production control, creating and modifying procedures, and running new production control systems. Analytical skills used to determine problems and repair systems.

Formulates and defines project scope and objectives through research and fact-finding. Responsible for understanding technology and business processes, recommending solutions, and documenting requirements for changes to business processes. Works on most phases of development independently and leads projects with moderate complexity.

As a SAP SD Functional Analyst, you will be responsible for partnering with business users to identify and test end-to-end SAP OTC processes. You will participate in manual regression testing, automate SAP tests, gather requirements, and provide support for system upgrades. Additionally, you will collaborate with technical teams to ensure seamless support and optimize SAP solutions.

As a SAP CRM & Vistex Functional Consultant, you will partner with business users to identify and test SAP OTC processes, gather requirements, automate tests, and support system upgrades. You should have 7-11 years of experience in SAP OTC modules such as SAP CRM, WebUI, Middleware, SAP SD, and SAP Vistex.

Full Stack Software Engineer position in the Enterprise Architecture Organization's Digital Innovation team. Responsibilities include collaborating with stakeholders, hands-on development, unit testing, CI/CD deployment, and ensuring modern security principles. Required skills in .NET, NodeJS, JavaScript, Angular, React, C#, Git, MongoDB, and more. Preferred qualifications in cloud computing, Python, AI/ML, Docker, Kubernetes, and CI/CD with Azure DevOps.

The Data Engineer will be responsible for designing and implementing Azure Data Factory V2 Pipelines, creating visualizations of data, working on migration projects, and maintaining metrics for monitoring data performance. Required qualifications include 4-7 years of development experience in ADF, expertise in T-SQL, and familiarity with various Azure services.