JD-

• Hands on experience as an Azure data engineer which includes.
• Design and implement highly available and scalable Azure cloud data solutions that meet business requirements.
• Developing and maintaining data lake and data warehouse schematics, layouts, architectures and relational/non-relational databases for data access and Advanced Analytics.

• Strong experience with Azure cloud technologies, including Azure Data Factory, Azure Data Bricks, Cosmos DB.
• Experience with data transformation and manipulation using Azure Databricks.
• In-depth technical knowledge of tools like Azure Data Factory, Databricks, Azure Synapse, SQL DB, ADLS etc.
• Working knowledge of Azure DevOps -CI/CD tools and concepts - Azure Pipelines, GitHub Workflow,
• Architect data ingestion solutions such as ETL, ELT on a wide set of data storage solutions.
• Scripting experience with Python and Rest API Experience with Python Fast API.
• Troubleshooting skills to drive to root cause.
• Experience working in an Agile development environment.
• Demonstrates strong written and oral communications skills. Ability, desire, and focus to meet deadlines.

Skills Required:

• 1) Python
• 2) Spark -PySpark
• 3) ADF (Azure Data Factory)
• 4) ADB (Azure Data Bricks)
• 5) SQL
• 6) Azure Cloud Infrastructure.

Nice to Have:

• Experience in data integration with API's.
• Exposure to Azure Functions.
• Working knowledge with Azure Infrastructure, security, token management.
• Working knowledge with: Azure DevOps /CICD,
• Python Fast API Knowledge
• Working Knowledge on Rest APIs.
• Working knowledge on using Postman for Rest APIs.
• Working Knowledge on Cosmos DB.