Azure Developer

2 weeks ago

Bengaluru Kolkata Noida, India Polestar Full time US$ 1,50,000 - US$ 2,00,000 per year

Your Role and 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.

Required Technical and Professional Expertise

  • Minimum of 4+ 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.

Preferred Technical and Professional Experience

  • 6+ years of experience in ELT/Data Integration for Data Warehousing, Data Lakes, and Business Intelligence.
  • Expertise in data storage, ETL/ELT, and data analytics tools and technologies.
  • Proven hands-on experience in designing, modelling, testing, and optimizing data warehousing & data lake solutions.
  • Proficiency in SQL and Spark-based data processing.
  • Experience with Azure cloud big data technologies Like Azure Data Factory, Azure Databricks, Fabric, Synapse, ADLS Gen2, etc.
  • Strong understanding of data and analytics data architecture.
  • Experience working with Agile methodologies (Scrum, Kanban) and in large transformational programs.
  • Ability to document architecture and present solutions effectively.
  • Strong data modelling skills (conceptual, logical, and physical).
  • Experience with Python

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