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Data Engineer - SQL Server/Data Modeling


Infiniti Research


Location

Bangalore | India


Job description

About Quantzig :Quantzig is a global analytics and advisory firm with offices in the US, UK, Canada, China, and India. we have assisted our clients across the globe with end-to-end advanced analytics, visual storyboarding, Machine Learning and data engineering solutions implementation for prudent decision making. We are a rapidly growing organization that is built and operated by high-performance champions If you have what it takes to be the champion with business and functional skills to take ownership of an entire project end-to-end, help build a team with great work ethic and a drive to learn, you are the one were looking for. The clients love us for our solutioning capability, our enthusiasm and we expect you to be a part of our growth story.Find out more about the company: Intelligence Developer (MS SQL/Data modelling) :- 10+ years of MS Sql / Data Modelling experience with Azure skills.- Should be able to proactively gather requirements, Model data structures, design data pipelines and data flows. - Expected to work btw. Business and BI stakeholders acting as a practice / module lead.Responsibilities :- Create, modify and optimize complex SQL queries, stored procedures, views, and triggers in addition to the development of other database objects to support the overall solution objectives.- Develop data models to ensure that the data objects provided are completely and accurately represented.- Design, Develop and manage data pipelines, support existing ETL Jobs and change control for object migration.- Implement automation of routine processes with appropriate monitoring controls.Expected Skills :- 10+ years of MS SQL, Architect (Data Architect), Data Modeling- Good Understanding of data modeling strategies (dimensional, relational, unstructured) with design-oriented modeling approach in large data warehouses, data marts, and analytics/reporting platforms.- Good to have Power BI, DAX, ADF, Databricks experience and Kimball Data warehousing techniques. (ref:hirist.tech)


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