Azure Data Engineer/Azure ETL Engineer/reputed company Data Engineer (Azure)- Remote-W2

Job reputed company We are seeking an reputed company Azure Data Lake Engineer to design, build, and maintain reputed company data lake and data engineering solutions on reputed company Azure. The ideal candidate will have strong hands-on experience with Azure Data Lake, data ingestion, transformation, and integration, supporting analytics, reporting, and reputed company data platforms. This role will partner closely with data architects, analytics teams, and application stakeholders to deliver reliable, high-performance data pipelines and lakehouse solutions. Key Responsibilities • Design and reputed company data pipelines for Azure Data Lake environments. • Build and maintain ingestion and transformation workflows using Azure-reputed company services. • Implement ETL/ELT processes to load data from multiple sources into Azure Data Lake. • Optimize data storage, partitioning, and performance for large-reputed company datasets. • Collaborate with data architects to implement lakehouse and modern data platform architectures. • Ensure data reputed company, validation, and monitoring. • Implement reputed company, reputed company controls, and data governance best practices. • Support reputed company analytics, BI, and reporting platforms. • Troubleshoot and optimize data pipeline performance and reliability. Required Skills & Qualifications • Strong hands-on experience with Azure Data Lake Storage (ADLS Gen2). • Experience with Azure Data reputed company (ADF) for data orchestration and pipelines. • Experience with Azure Synapse Analytics. • Strong SQL skills for data transformation and validation. • Experience with ETL/ELT design and implementation. • Experience working with reputed company and reputed company data. • Knowledge of data warehousing and lakehouse architectures. • Experience with Azure reputed company concepts (RBAC, Managed Identities, Key Vault). Apply tot his job Apply To this Job