Job
Description
As a Senior Data Engineer at our company, you will play a crucial role in supporting our enterprise data modernization and analytics transformation initiatives on the Microsoft ecosystem, particularly Microsoft Fabric. Your expertise in data pipelines, lakehouse architecture, Power BI, Synapse integration, and modernizing legacy data systems will be essential in building scalable, secure, and high-performing data solutions. Key Responsibilities: - Design and implement data pipelines using Microsoft Fabric's Data Factory, Synapse Data Engineering, and OneLake components. - Build and maintain lakehouse architectures leveraging Delta Lake, Parquet, and OneLake within Microsoft Fabric. - Lead initiatives to modernize legacy ETL/ELT processes to cloud-native data pipelines. - Collaborate with Data Architects, BI Developers, and Analysts to deliver scalable data models for analytics and reporting. - Optimize performance of Power BI datasets and reports through best practices in data modeling and DAX. - Implement data governance and security controls, including Microsoft Purview, role-based access, and lineage tracking. - Collaborate with cross-functional teams in cloud migration, especially from on-premises SQL/Oracle/Hadoop platforms to Microsoft Azure & Fabric. - Evaluate and implement CI/CD practices for data pipelines using Azure DevOps or GitHub Actions. Qualifications Required: - Bachelor's/Master's degree in Computer Science, Information Systems, or related field. - 8+ years of experience in data engineering. - Strong hands-on experience with Microsoft Fabric components: Data Factory, Lakehouse/OneLake, Synapse Data Engineering, Power BI. - Experience with data modeling (star/snowflake) and performance tuning in Power BI. - Deep understanding of modern data architecture patterns including lakehouse, medallion architecture, and ELT frameworks. - Expertise in SQL, PySpark, T-SQL, DAX, and Power Query (M language). - Experience modernizing platforms from SSIS, Informatica, or Hadoop to cloud-native tools. - Familiarity with Azure ecosystem Azure Data Lake, Azure SQL DB, Azure Functions, Azure Synapse, Azure Data Factory. - Strong experience in CI/CD pipelines, preferably with Azure DevOps. - Familiarity with data security, GDPR, HIPAA, and enterprise data governance. Soft Skills: - Strong analytical and problem-solving skills. - Excellent communication and stakeholder management capabilities. - Ability to lead projects, mentor junior engineers, and collaborate with cross-functional teams. As a Senior Data Engineer at our company, you will play a crucial role in supporting our enterprise data modernization and analytics transformation initiatives on the Microsoft ecosystem, particularly Microsoft Fabric. Your expertise in data pipelines, lakehouse architecture, Power BI, Synapse integration, and modernizing legacy data systems will be essential in building scalable, secure, and high-performing data solutions. Key Responsibilities: - Design and implement data pipelines using Microsoft Fabric's Data Factory, Synapse Data Engineering, and OneLake components. - Build and maintain lakehouse architectures leveraging Delta Lake, Parquet, and OneLake within Microsoft Fabric. - Lead initiatives to modernize legacy ETL/ELT processes to cloud-native data pipelines. - Collaborate with Data Architects, BI Developers, and Analysts to deliver scalable data models for analytics and reporting. - Optimize performance of Power BI datasets and reports through best practices in data modeling and DAX. - Implement data governance and security controls, including Microsoft Purview, role-based access, and lineage tracking. - Collaborate with cross-functional teams in cloud migration, especially from on-premises SQL/Oracle/Hadoop platforms to Microsoft Azure & Fabric. - Evaluate and implement CI/CD practices for data pipelines using Azure DevOps or GitHub Actions. Qualifications Required: - Bachelor's/Master's degree in Computer Science, Information Systems, or related field. - 8+ years of experience in data engineering. - Strong hands-on experience with Microsoft Fabric components: Data Factory, Lakehouse/OneLake, Synapse Data Engineering, Power BI. - Experience with data modeling (star/snowflake) and performance tuning in Power BI. - Deep understanding of modern data architecture patterns including lakehouse, medallion architecture, and ELT frameworks. - Expertise in SQL, PySpark, T-SQL, DAX, and Power Query (M language). - Experience modernizing platforms from SSIS, Informatica, or Hadoop to cloud-native tools. - Familiarity with Azure ecosystem Azure Data Lake, Azure SQL DB, Azure Functions, Azure Synapse, Azure Data Factory. - Strong experience in CI/CD pipelines, preferably with Azure DevOps. - Familiarity with data security, GDPR, HIPAA, and enterprise data governance. Soft Skills: - Strong analytical and problem-solving skills. - Excellent communication and stakeholder management capabilities. - Ability to lead projects,
