Description

What's the Job?

• Build large-scale batch and real-time data pipelines utilizing data processing frameworks within the Azure cloud platform.
• Design and implement highly performant data ingestion pipelines from multiple sources using Azure Databricks.
• Develop scalable and reusable frameworks for dataset ingestion, ensuring efficiency and reliability.
• Lead the design of ETL processes, data integration, and data migration strategies.
• Partner with architects, engineers, analysts, and stakeholders to develop and deploy enterprise-grade data solutions that support data-driven decision-making.

What's Needed?

• Experience working with ADLS, Azure Databricks, Azure SQL Database, and Data Warehouse solutions.
• Hands-on experience implementing Azure cloud components such as Azure Data Factory, Azure Data Analytics, Azure Data Lake, and related services.
• Proficiency in designing and deploying data applications on Azure cloud solutions.
• Strong SQL skills, including T-SQL and PL/SQL, with experience in performance tuning and optimization.
• Experience working in Agile environments, with familiarity in Jira and project delivery methodologies

Key Skills

Education

Any Graduate