- Project Role :Digital Data Engineering Practitioner
- Project Role Description :Develop analytics based solutions that produce quantitative and qualitative business insights. Work with partners as necessary to integrate systems and data quickly and effectively, regardless of technical challenges or business environments.
- Management Level :10
- Work Experience :4-6 years
- Work location :Bengaluru
- Must Have Skills :Google BigQuery
- Good To Have Skills :GCP - Cloud Data Transfer,GCP - Cloud Dataflow
- Job Requirements :
- Key Responsibilities : a: Create ETL pipeline using Bigquery, create best performing tables with partitioning/clustering etc. enabled keeping best practices in mind. b: Write Complex SQL queries keeping execution cost in mind. c: Load data into BigQuery using files or by streaming one record at a time. d: Create, load, and query partitioned tables for daily time-series data. e: Implement fine-grained access control using roles and authorized views.
- Technical Experience : a: Should have indepth understanding of Bigquery architecture, table partitioning, clustering, best practices, type of tables, best practices etc. b: Should know how to reduce BigQuery costs by reducing the amount of data processed by your queries. c: Should be able to speed up queries by using denormalized data structures, with or without nested repeated fields. d: Exploring and Preparing data using BigQuery e: Implementing ETL jobs using Bigquery. f. Understanding of Bigquery ML.
- Professional Attributes : a: Good communication and interpersonal skills b: Strong writing skills and stakeholder management c: Excellent problem-solving skills and mitigate technical issues
- Educational Qualification : a: Graduate/BTech; b: Certified in Google Professional Data Engineering/Solution Architect.
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