Description

You will design and implement end-to-end Azure cloud data solutions and migration strategies.

Responsibilities

• Define architecture for Azure cloud solutions and large-scale data migrations from on-premise environments.
• Design data warehouse and ETL architectures to support batch processing and data cleansing.
• Build data pipelines using Azure Data Factory, Databricks, and Synapse.
• Manage data consumption through Azure analytics, BI, and data quality services.
• Implement storage and processing layers using ADLS, Data Lake, and Delta Lake Gen II.

Required Skills

• 10+ years of experience in Data Warehouse and ETL architecture.
• 8+ years of experience defining Azure cloud solution architectures.
• Expertise in Azure components including Synapse, Azure Data Factory, and Azure Databricks.
• Deep knowledge of ADLS, Data Lake, and Delta Lake Gen II.
• Experience with relational and unstructured technologies: SQL Server, Azure SQL, CosmosDB, and Azure Data Lake.
• Proficiency with Big Data technologies: Spark, Hadoop, Kafka, and Storm.
• Hands-on experience with HD Insights and graph data technologies.
• Strong background in data processing, batch processing, and data quality services.

Preferred Skills

• Experience managing complex migrations from on-premise to cloud environments.

Key Skills

Education

Any Graduate