Product Analyst (AZURE DATA FACTORY)
Product Analyst
London
Contract (3-6 months)
300 - 450 Per day (Inside IR35)
Job Description:-
Mandatory Skills: AZURE DATA FACTORY
Data Analytics requirement Tech Lead is accountable for the technical development of the roadmap items, in charge of the management of the technical debt.
That person will participate in Analytics scope prioritization meetings, supervise/coordinate requests' technical assessments process, ensure the delivery is executed properly within agreed scope, effort and time by the development team.
This role can be incorporated by Solution Architect or Senior Data Engineer interested in becoming Solution Architect. It can be also a Team Lead/Scrum Master having prior extensive Data Engineer experience.
Demonstrated expertise in data architecture, Datamodelling, and data management. Strong proficiency in Azure cloud services, including Azure Data Factory, Databricks.
Experience with data governance, data quality, and metadata management practices. Familiarity with agile methodologies, DevOps practices, and infrastructure as code (IaC) principles and tools (Terraform) Excellent communication skills.
Reference: 2831647793
Product Analyst (AZURE DATA FACTORY)
Posted on Oct 2, 2024 by Coforge U.K. Ltd
Product Analyst
London
Contract (3-6 months)
300 - 450 Per day (Inside IR35)
Job Description:-
Mandatory Skills: AZURE DATA FACTORY
Data Analytics requirement Tech Lead is accountable for the technical development of the roadmap items, in charge of the management of the technical debt.
That person will participate in Analytics scope prioritization meetings, supervise/coordinate requests' technical assessments process, ensure the delivery is executed properly within agreed scope, effort and time by the development team.
This role can be incorporated by Solution Architect or Senior Data Engineer interested in becoming Solution Architect. It can be also a Team Lead/Scrum Master having prior extensive Data Engineer experience.
Demonstrated expertise in data architecture, Datamodelling, and data management. Strong proficiency in Azure cloud services, including Azure Data Factory, Databricks.
Experience with data governance, data quality, and metadata management practices. Familiarity with agile methodologies, DevOps practices, and infrastructure as code (IaC) principles and tools (Terraform) Excellent communication skills.
Reference: 2831647793
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