Data Architect - Google Cloud Platform

Strategic HR Solutions

10 - 14 years

0 Lacs

hyderabad telangana

Posted:1 day ago| Platform: Shine logo

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Skills Required

reporting analytics sql advanced analytics tableau google cloud platform devops data architect bidw architecture no sql dbms etl processes query languages program languages selfservice reporting cloudbased technologies powerbi azure data factory azure synapse azure data lake aws redshift aws glue aws athena aws quicksight cicd pipelines aiml

Work Mode

On-site

Job Type

Full Time

Job Description

As a Data Architect, you will be responsible for leading Data related projects in the field of Reporting and Analytics. With over 10 years of relevant work experience, you will design, build, and maintain scalable data lake and data warehouse in the cloud, particularly on Google Cloud Platform (GCP). Your expertise will be crucial in gathering business requirements, analyzing business needs, and defining the BI/DW architecture to deliver technical solutions for complex business and technical requirements. You will create solution prototypes, participate in technology selection, and perform POCs and technical presentations. In this role, you will architect, develop, and test scalable data warehouses and data pipelines architecture using Cloud Technologies on GCP. Your experience in SQL and NoSQL DBMS such as MS SQL Server, MySQL, PostgreSQL, DynamoDB, Cassandra, and MongoDB will be essential. You will design and develop scalable ETL processes, including error handling, and demonstrate proficiency in query and program languages like MS SQL Server, T-SQL, PostgreSQL, MySQL, Python, and R. Additionally, you will prepare data structures for advanced analytics and self-service reporting using tools like MS SQL, SSIS, and SSRS. Experience with cloud-based technologies such as PowerBI, Tableau, Azure Data Factory, Azure Synapse, Azure Data Lake, AWS RedShift, Glue, Athena, AWS Quicksight, and Google Cloud Platform will be beneficial. In addition, familiarity with Agile development environment, pairing DevOps with CI/CD pipelines, and having an AI/ML background are considered good to have for this role. (ref:hirist.tech),

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Data Architect - Google Cloud Platform