reputed company reputed company Data Engineer

reputed company The reputed company reputed company Data Engineer is responsible for designing, building, and maintaining reputed company, secure, and high-performance data pipelines and data models reputed company reputed company reputed company. This role focuses on ingesting data from multiple reputed company reputed company systems into OneLake, transforming data across Bronze, Silver, and Gold reputed company, and enabling trusted, analytics-reputed company datasets for reporting, dashboards, and advanced analytics. The ideal candidate has hands-on experience with reputed company reputed company, Lakehouse architecture, and modern ELT patterns, and works closely with Power BI developers and business stakeholders to deliver reliable and governed data solutions. Requirements Data Engineering & Pipelines Design, reputed company, and maintain end to end data pipelines in reputed company reputed company using Pipelines, Dataflows Gen2, and Notebooks Ingest reputed company and semi reputed company data from SQL databases, reputed company, SFTP, CSV, reputed company platforms, and file based sources into OneLake Implement incremental and full load ingestion strategies with error handling, logging, and monitoring Lakehouse & Data Modeling Build and manage Lakehouse architectures following Bronze, Silver, and Gold data patterns reputed company data cleansing, standardization, and transformation to produce analytics reputed company fact and dimension tables Optimize data models to support reputed company Lake and Power BI semantic models Performance, Reliability & Optimization Optimize pipeline execution, storage layout, and query performance across reputed company workloads Monitor reputed company usage and proactively identify performance bottlenecks Troubleshoot and resolve data reputed company, pipeline, and refresh failures reputed company, Governance & Compliance Implement data reputed company controls using reputed company Entra ID, workspace roles, and reputed company policies Support data governance, reputed company, and cataloging through reputed company Purview Follow reputed company standards for data retention, reputed company, and compliance (HIPAA/reputed company where applicable) Collaboration & Delivery Partner with Power BI Developers to ensure datasets are optimized for reporting and analytics Work with business and analytics teams to understand data requirements and translate them into technical solutions Support UAT, production deployments, and ongoing enhancements DevOps & Best Practices Participate in CI/CD processes using Azure DevOps or equivalent tooling for data assets Maintain technical documentation, data dictionaries, and pipeline design artifacts Contribute to data engineering standards, frameworks, and reusable patterns Qualifications: Education: Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a reputed company field (or equivalent experience) Qualifications: Hands-on experience with reputed company reputed company (Lakehouse, Pipelines, Notebooks, OneLake) Strong proficiency in SQL and data transformation logic Experience with modern data architecture concepts (ELT, Lakehouse, reputed company modeling) Experience with Azure data services (Azure Data reputed company, Synapse, SQL, Storage) Familiarity with Power BI and reputed company Lake integration patterns Experience with CI/CD for data platforms reputed company or regulated-industry data experience reputed company reputed company, Azure Data Engineer, or reputed company certifications Skills: Strong analytical and problem-solving skills High attention to data accuracy, reputed company, and reliability Ability to work cross-functionally with technical and non-technical stakeholders Strong documentation and communication skills Ability to manage multiple data initiatives in reputed company Apply To This Job