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Private Jobs / Private Sector
Accenture Hiring For Google BigQuery at Mumbai, Maharashtra Full Time
Job Description
About Accenture: Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. We combine unmatched experience and specialized capabilities across more than 40 industries — powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. With 514,000 people serving clients in more than 120 countries, Accenture brings continuous innovation to help clients improve their performance and create lasting value across their enterprises. Visit us at www.accenture.com
About Accenture: Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. We combine unmatched experience and specialized capabilities across more than 40 industries — powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. With 514,000 people serving clients in more than 120 countries, Accenture brings continuous innovation to help clients improve their performance and create lasting value across their enterprises. Visit us at www.accenture.com
Project Role :Application Lead
Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact.
Management Level :10
Work Experience :4-6 years
Work location :Mumbai
Must Have Skills : Google BigQuery,No Technology Specialization
Good To Have Skills : NA
Job Requirements :
Key Responsibilities : 1 Create ETL pipeline using Bigquery, create best performing tables with partitioning/clustering etc enabled keeping best practices in mind 2 Write Complex SQL queries keeping execution cost in mind 3 Load data into BigQuery using files or by streaming one record at a time 4 Create, load, and query partitioned tables for daily time-series data 5 Implement fine-grained access control using roles and authorized views
Technical Experience : 1 Should have indepth understanding of Bigquery architecture, table partitioning, clustering, best practices, type of tables, best practices etc 2 Should know how to reduce BigQuery costs by reducing the amount of data processed by your queries 3 Should be able to speed up queries by using denormalized data structures, with or without nested repeated fields 4 Exploring and Preparing data using BigQuery 5 Implementing ETL jobs using Bigquery 6 Understanding of Bigquery ML
Professional Attributes: 1 Good communication and interpersonal skills 2 Strong writing skills and stakeholder management 3 Excellent problem-solving skills and mitigate technical issues
Educational Qualification: 15 years of full time education
Qualifications
15 years of full time education