Google Recruitment 2020 | Data Engineer | BE/ B.Tech/ ME/ M.Tech – Computers/IT, Electronics Engineering; MCA | Bangalore

Google Inc. is an American multinational technology company specializing in Internet-related services and products. These include online advertising technologies, search, cloud computing, and software. Most of its profits are derived from AdWords, an online advertising service that places advertising near the list of search results.

Google was founded by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. Together they own about 14 percent of its shares but control 56 percent of the stockholder voting power through supervoting stock. They incorporated Google as a privately held company on September 4, 1998 .

Position: Data Engineer

Job Location: Bangalore

Experience: 3 Years

Salary: Best In Industry

Education: BE/ B.Tech/ ME/ M.Tech – Computers/IT, Electronics Engineering; MCA

Preferred qualifications:

  • 3 years of industry experience in software development, data engineering, business intelligence, data science, or related field with experience in manipulating, processing, and extracting value from datasets.
  • Understanding of Big Data technologies and solutions (Spark, Hadoop, Hive, MapReduce) and multiple scripting and languages (YAML, Python).
  • Understanding of Google Cloud Platform (GCP) technologies in the big data and data warehousing space (BigQuery, Cloud Data Fusion, Dataproc, Dataflow, Data Catalog).

Responsibilities:

  • Design, build and deploy internal applications to support our technology life cycle, collaboration and spaces, service delivery management, data and business intelligence among others.
  • Work closely with analysts and business process owners to translate business requirements into technical solutions.
  • Build internal solutions, with custom front ends (web, mobile) and backend services that automate business processes.
  • 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, with repeatable quality and predictability.

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