Staff Software Engineer, Google Cloud Business @ Consultancy

Job Description

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Hyderabad, Telangana, India; Bengaluru, Karnataka, India.Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience testing, and launching software products. 3 years of experience with software design and architecture. Preferred qualifications: Masters degree or PhD in Engineering, Computer Science, or a related technical field. 8 years of experience with data structures/algorithms. 3 years of experience in a technical leadership role leading project teams and setting technical direction. 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects. Experience with data storage, data governance, and data modeling. Experience with finance systems or large data processing. About The Job Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Google Cloud Business Platform (GCBP) Finance engineering is responsible for automating various aspects of business recognition to meet accounting standards and build highly scalable big data pipelines that assist various scenarios of Management reporting. The Revenue Recognition Pre-Processor (RRP) is a business recognition system for Google Cloud revenue. RRP can handle complex business accounting to reduce manual effort and risk of restatements. RRP ensures compliance with ASC606 standards published by the Financial Accounting Standards Board (FASB) by integrating with various upstream ordering systems in the enterprise. This system is built to be flexible to support Clouds evolving Go-to-Market strategy. Google Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Googles cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Own and drive the key project deliverables leveraging other full-time employees and vendors across the teams and geographies. Develop, build, and deploy applications using various platforms and technologies like Java/BigQuery. Work closely with analysts to translate business requirements into technical solutions. Design, develop, and manage data transformation pipelines to build financial data products from other data sources using BigQuery technology stack. Maintain highest levels of development practices, including technical design, solution development, systems configuration, test documentation/execution, issue identification and resolution, writing clean, modular, and self-sustaining code. Architect innovative solutions to automate and scale business systems. Provide direction for architecture, design, build, and support activities required for enterprise software platforms and drive for excellence, performance, and security. ,

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Keyskills:   Java Data Structures Algorithms Technical Leadership Data Governance Data Modeling Software Design Software Architecture Information Retrieval Distributed Computing Networking Security Artificial Intelligence Natural Language Processing UI Design Mobile Development BigQuery