Cognizant off-campus drive

 

Role                                   :- Azure Data Engineer

Salary                                :- 4 - 5 LPA (EXP) 

Experience                        :-  Freshers / Experienced

Location                            :- Karnataka   

Employment Type           :-Full-Time

Qualification                     :- B.Tech, M.Tech (IT,CSE background only)

Description :

• As an Azure Data Engineer, you will be expected to design, implement, and manage data solutions on the Microsoft Azure cloud platform. 
• You will be in charge of creating and maintaining data pipelines, data storage solutions, data processing, and data integration to enable data-driven decision-making inside a company. 

Responsibilities :

• To make SQL code for data extraction, transformation, and loading operations as efficient as possible, collaborate closely with data engineers and data scientists.
• Design and maintain data models in conjunction with the data engineering team to ensure consistency and integrity of the data.
• Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
• Improve the scalability, efficiency, and cost-effectiveness of data pipelines.
• Utilize Azure technologies like Azure Cognitive Technologies, Azure Machine Learning, and Azure Bot Services to design, create, and deploy AI-based applications.
• Access and prepare data for analysis by working with data engineers.
• Maintain accuracy and efficiency standards for machine learning models.
• Inform both technical and non-technical audiences about your findings and conclusions.
• Utilizing Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operations.
• Mandatory: Strong in Azure, ADF, Data Lake, Databricks, Pyspark
• Hands-on-experience in developing data lake solutions using Azure (Azure data factory for ingestion, Data Lake gen 2 and Azure SQL server for storage, Azure analysis service for transformations, Azure data bricks)
• Implement a robust data pipeline using Microsoft Stack.
• Create reusable and scalable data pipelines.
• Development and deployment of new data platforms.
• Leverage Azure BI services for development of Big Data Platforms.
• Work closely with the Product Owners and Architects to develop Azure Data Platforms.
• Work with the leadership to set the standards for software engineering practices within the team and support across other disciplines.
• Produce high-quality code that allows us to put solutions into production.
•  Refactor code into reusable libraries, APIs, and tools.

Application Link : Click here to apply