Job Description

• Experience with Azure Data Bricks, Data Factory
• Experience with Azure Data components such as Azure SQL Database, Azure SQL Warehouse, SYNAPSE Analytics
• Experience in Python/Pyspark/Scala/Hive Programming.
• Experience with Azure Databricks/ADB
• Good understanding of SQL queries, joins, stored procedures, relational schemas
• Experience with NoSQL databases, such as HBase, Cassandra, Mongo DB 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.

Employee Status :Full Time Employee

Shift : Day Job

Travel : No

Job Posting :May 31 2023

About Cognizant

Cognizant (Nasdaq-100: CTSH) is one of the world's leading professional services companies, transforming clients' business, operating and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant is ranked 185 on the Fortune 500 and is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com or follow us @Cognizant