Senior Software Engineer, Enterprise Data
- Mastercard
- 3 to 7 Yrs
- Hyderabad
- 4 months ago
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Job Description
- Minimum qualifications: Bachelors degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages, and with data structures/algorithms. 3 years of experience with ML/AI algorithms and tools, deep learning, or natural language processing or ML sub domain, including in Applied ML space. 3 years of experience testing, maintaining or launching software products, and 3 years of experience with software design (either distributed system design or ML design) and architecture. Experience in a leadership role (technical leadership or people management, supervision, or team leadership). Preferred qualifications: Master's degree or PhD in Computer Science or a related technical field. 3 years of experience in a technical leadership or individual contributor role. Experience with ML frameworks, Applied ML across sub-domains. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. 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 Googles needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. 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. In this role, you will deliver solutions to meet the data, reporting, and analytics needs of Googlers. You will drive high impact projects to deliver data management and investigative solutions for our partners across Google, create and maintain logical and physical database designs, and ensure the integrity of data under the purview of the projects, including establishing security procedures to protect and maintain the highest level of confidentiality and data security. In addition, you'll partner with internal teams to define and implement solutions that improve internal business processes, maintain highest levels of development practices, integrate third-party products with internal systems, and 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. At Corp Eng, we build world-leading business solutions that scale a more helpful Google for everyone. As Googles IT organization, we provide end-to-end solutions for organizations across Google. With an inclusive mindset, we deliver the right tools, platforms, and experiences for all Googlers as they create more helpful products and services for everyone. In the simplest terms, we are Google for Googlers. Responsibilities Deliver data integration and pipeline solutions leveraging technologies such as Kafka, Spark, Airflow or similar technologies. Work well across Product Areas, build relationships, and deliver on shared objectives. ,
Employement Category:
Employement Type: Full timeIndustry: IT Services & ConsultingRole Category: Not SpecifiedFunctional Area: Not SpecifiedRole/Responsibilies: Senior Software Engineer, Enterprise Data andContact Details:
Company: GoogleLocation(s): Hyderabad
Keyskills: software development programming languages data structures algorithms deep learning natural language processing testing software design architecture leadership information retrieval distributed computing networking security artificial intelligence UI design mobile data management reporting analytics confidentiality data security technical design solution development issue identification resolution data integration Kafka Spark Airflow
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