Data Engineer

1 month ago


Bangalore, India Infiniti Research Full time

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 :


- 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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