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Data Engineering & Analytics Lead

samuel JUnited StatesSENIORPosted 11d ago
SQLPySparkDatabricksDelta LakeLakehouse ArchitecturePythonETLELTPower BIAzure Data FactoryMedallion ArchitectureData modelingSchema designPerformance optimizationAILLMADLS Gen2Data qualityGitCI/CDData governanceMetadata management
About the Role We are looking for a hands-on Data Engineering & Analytics Lead with strong expertise in building scalable data pipelines, data modeling, and BI solutions. Key Responsibilities • Build scalable data pipelines • Develop data models and BI solutions • Implement and manage data architecture • Analyze data using AI and LLM technologies Requirements • Advanced SQL and PySpark (minimum proficiency: 7/10 in each) • Experience with Databricks, Delta Lake, and Lakehouse Architecture • Python and ETL/ELT pipeline development • Power BI dashboards, data modeling, and analytics • Azure Data Factory (ADF) • Medallion Architecture (Bronze, Silver, Gold) • Data modeling, schema design, and performance optimization • AI/LLM-assisted data analysis and analytics development Preferred Skills • ADLS Gen2, data quality, and validation • Git, CI/CD, data governance, and metadata management • Process or operational analytics experience

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