Work with Azure Data Lake and Azure Data Factory to design, implement, and manage data pipelines. Connect various data sources (applications, databases, etc.) to the Azure Data Lake for storage and processing. Write PiSpark SQL codes and SSIS packages for data retrieval and transformation from different data sources. Design and develop efficient Data Architecture and Data Modeling solutions to support business requirements. Create data visualizations to communicate insights to stakeholders and decision-makers. Optimize data workflows and pipelines for better performance and scalability. Collaborate with cross-functional teams to ensure seamless data integration and delivery. Ensure data integrity, security, and compliance with best practices. Skills and Qualifications : 2+ years of experience working with Azure Data Lake, Azure Data Factory, and related Azure services. Proficiency in writing PiSpark SQL codes for data extraction and transformation. Experience in developing SSIS packages for data integration and automation. Strong understanding of Data Architecture and Data Modeling concepts. Experience in creating effective and insightful data visualizations using tools like Power BI or similar. Familiarity with cloud-based storage and computing concepts and best practices. Strong problem-solving skills with an ability to troubleshoot and optimize data workflows. Ability to collaborate effectively in a team environment and communicate with stakeholders. Preferred Qualifications : Certifications in Azure (e.g., Azure Data Engineer or similar) would be a plus. Experience with other Azure tools like Azure Synapse, Databricks, etc.

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Azure Data Engineer