Source description
About the role
Gipfel & Schnell Consultings Pvt Ltd is looking for Sr. Azure Data Engineering Cloud to join our dynamic team and embark on a rewarding career journey Data Architecture Design:Design and implement scalable, high-performance data architectures on the Azure platform Work with stakeholders to understand data requirements and translate them into effective data solutions Data Integration:Develop and implement data integration solutions, including ETL (Extract, Transform, Load) processes Utilize Azure Data Factory, Azure Data Pipeline, or similar tools for efficient data movement Data Modeling:Design and implement data models to support analytical and reporting requirements Ensure data models align with best practices and are optimized for performance Data Warehousing:Build and maintain data warehouses on Azure, such as Azure Synapse Analytics or Azure SQL Data Warehouse Implement data partitioning, indexing, and optimization techniques Data Processing and Transformation:Implement data processing solutions using Azure technologies like Azure Databricks, HDInsight, or Spark Perform data transformations and aggregations to support business intelligence and analytics Data Security and Compliance:Implement security measures to protect sensitive data Ensure compliance with data governance and privacy regulations Monitoring and Optimization:Monitor data pipelines for performance and reliability Optimize data storage, processing, and retrieval for cost-effectiveness Collaboration:Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders Work closely with database administrators and infrastructure teams to ensure smooth data operations
More at GS Consulting