Data Engineer:We are seeking a skilled and hands-on Cloud Data Engineer with 5-8 years of experience to drive end-to-end data engineering solutions. The ideal candidate will have a deep understanding of dimensional modeling, data warehousing (DW), Lakehouse architecture, and the Medallion architecture. This role will focus on leveraging Azure's/AWS ecosystem to build scalable, efficient, and secure data solutions. You will work closely with customers to understand requirements, create technical specifications, and deliver solutions that scale across both on-premise and cloud environments.
Key Responsibilities:
End-to-End Data Engineering
Lead the design and development of data pipelines for large-scale data processing, utilizing Azure/AWS tools such as Azure Data Factory, Azure Synapse, Azure functions, Logic Apps , Azure Databricks, and Data Lake Storage. Tools, AWS Lambda, AWS Glue
Develop and implement dimensional modeling techniques and data warehousing solutions for effective data analysis and reporting.
Build and maintain Lakehouse and Medallion architecture solutions for streamlined, high-performance data processing.
Implement and manage Data Lakes on Azure/AWS, ensuring that data storage and processing is both scalable and secure.
Handle large-scale databases (both on-prem and cloud) ensuring high availability, security, and performance.
Design and enforce data governance policies for data security, privacy, and compliance within the Azure ecosystem.
Keyskills: azure databricks azure synapse data warehousing dimensional modeling azure data factory microsoft azure azure logic apps aws lambda data engineering aws glue azure functions cloud data flow dw spark data lake storage data governance aws data lake
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