Staff Software Engineer, Big Data

8 hours ago

Hyderabad, Telangana, India Google Full time ₹ 14,00,000 - ₹ 17,00,000 per year
Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience with one or more general purpose programming languages including but not limited to: Java, C/C++ or Python.
  • 5 years of experience testing, and launching software products.
Preferred qualifications:
  • 8 years of experience with data structures/algorithms.
  • Experience working with big data platforms such as BigQuery, F1, or Spanner.
  • Knowledge of data warehousing concepts and best practices.


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 Google's 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.

At Corp Eng, we build world-leading business solutions that scale a more helpful Google for everyone. As Google's IT organization, we provide end-to-end solutions for organizations across Google. 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
  • Develop big data pipelines (250 Billion+ rows) and report solutions with low tolerances for data error.
  • Develop data platform tooling for environment management, data management, pipeline alerting/monitoring, and data reconciliation.
  • Lead design, data modeling, architecture, coding, performance tuning, testing, and support of analytical systems. Take ownership of the Software Development Life Cycle (SDLC) cycle.
  • Maintain development practices including for technical design, solution development, systems configuration, test documentation/execution, issue identification and resolution, write modular and self-sustaining code.
  • Serve as a site lead for a team.

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