Cloud Engineer

About Polestar Solutions:

Polestar, is a leading AI & analytics solutions company that serves Fortune 1000 companies, startups and the government across various industries, including CPG & retail, manufacturing and pharmaceuticals, among others. Headquartered in Texas, we have branches across Noida, Kolkata, Mumbai, Bangalore, and the UK.

Our comprehensive analytics foundation, data science and AI initiatives have led us to be featured in multiple reports ranging from Forrester, Red Herring, Deloitte, ISG, Everest Group, AIM Research, and more.

Inviting applications for the role of Azure Developer

Job Title: Azure Developer

Exp: 3 to 7 years

Location: Noida/Kolkata/Bangalore/Mumbai

Key Responsibility

We are looking for enthusiastic Data Engineers who could perform the following responsibilities: -

Responsible for implementing a robust data estate using Microsoft Azure Stack.

Responsible for creating reusable and scalable data pipelines.

Responsible for developing and deploying Big Data BI Solutions across industries and functions.

Responsible for the development and deployment of new data platforms.

Responsible for creating reusable components for rapid development of data platform.

Responsible to create high-level architecture and data modeling.

Responsible to guide and mentor the development teams.

Responsible for getting UAT and Go Live for Data platform projects.

Play an active role in team meetings and workshops with clients.

Requirements

Minimum of 3+ years of experience in Data Warehousing with Big Data or Cloud .

Graduate degree educated in computer science or a relevant subject.

Good software engineering principals.

Strong in SQL queries and data models.

Good understanding of OLAP & OLTP concepts and implementations.

Experience in working on Azure Services like Azure Data Factory, Azure Function, Azure SQL, Azure Data Bricks, Azure Data Lake, Synapse Analytics etc.

Knowledge of Power shell is good to have.

Experience of working in Agile delivery model.

Knowledge of Big Data technologies, such as Spark, Hadoop/MapReduce is good to have.

Knowledge and practical experience of cloud-based at forms and their ML/DL offerings (such as Google GCP, AWS, and Azure) would be advantageous.

Understanding of infrastructure (including hosting, container-based deployments, and storage architectures) would be advantage.