Top Tech Jobs & Startup Jobs in Hyderabad
The Senior Director, Data and Pricing Platform leads data-driven initiatives, develops and executes a comprehensive analytics strategy, and oversees a cross-functional team of engineers. Responsibilities include enhancing data pipelines and governance, designing a federated data platform, and collaborating with various departments to support data-driven decisions.
As a Senior Software Engineer, you will enhance pricing operations through technology, actively contribute to software development phases, build features that align with business needs, participate in defining technical strategy, and mentor other engineers.
The Workday Configuration Analyst is responsible for HR system administration, including configuring business processes, developing reports, training end users, and managing data. This role involves troubleshooting issues, coordinating with various stakeholders, and maintaining compliance documentation while supporting Workday modules like Performance and Advanced Compensation.
The Accounting Manager will support the development and growth of the Finance Center of Excellence in Chennai, oversee financial reporting and accounting operations of the India entity, lead a local team, and collaborate with US-based leaders. Responsibilities include setting goals, managing accounting operations, process improvements, training team members, and ensuring compliance. Requirements include 8+ years of experience, professional accounting qualification, familiarity with India compliance, and strong Excel skills.
As a Tech Lead Manager, you will lead a small team of software engineers in developing and managing complex backend microservices for the Pricing Platform at Opendoor. You will partner with product and engineering leaders, set team standards, mentor teammates, and ensure delivery of high-quality software aligned with business strategies.
The Staff Machine Learning Engineer will design and support a framework for the full ML lifecycle, maintain large-scale ML pipelines, and integrate solutions with various ML PaaS applications, collaborating with MLEs and Researchers.
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