Description

You will manage the lifecycle of data requirements and integration strategies within an Azure-based data environment.

Responsibilities

• Collect, analyze, and document functional requirements for Data Lake infrastructure and business analytics.
• Profile data sources to define and refine data warehouse models and metadata specifications.
• Collaborate with architects and stakeholders to design data workflows, integration strategies, and governance practices.
• Perform deep data analysis to validate accuracy, consistency, and quality across the Data Lake and Data Warehouse.
• Partner with QA teams on test planning and support data integration projects from requirement gathering through UAT and production migration.
• Ensure compliance with CI/CD practices and implement data security protocols within Azure environments.

Required Skills

• 7+ years of experience in business analysis, data management, and cloud platforms.
• Extensive experience with Azure Data Factory, Azure Synapse, and Power BI.
• Hands-on expertise with Data Lake architecture and data warehouse modeling.
• Proficiency in SQL and KQL for data querying, validation, and analysis.
• Experience integrating Oracle EBS with cloud-based data tools in enterprise environments.
• Knowledge of Azure Security protocols and data governance implementation.
• Experience working with CI/CD pipelines to automate data processes.
• Any Graduate degree.

Key Skills

Education

Any Graduate