Lead II Data Engineering

Role Description We are seeking a highly skilled Data Engineering and Analytics professional with 7+ years of experience in designing and optimizing ETL pipelines, enterprise data platforms, and analytics solutions. The ideal candidate should possess strong technical expertise combined with business acumen to transform complex data into actionable insights and strategic outcomes. Key Responsibilities Design, develop, and optimize scalable ETL pipelines and enterprise data warehousing solutions. Build and maintain robust data systems ensuring reliability, scalability, and performance. Develop dashboards, reports, and visualizations using Power BI and Tableau to support business decisionmaking. Apply Python and regressionbased predictive modeling techniques for advanced analytics and forecasting. Collaborate with business and technical stakeholders to translate business requirements into datadriven solutions. Drive governance improvements, process optimization, and operational efficiency initiatives. Provide strategic insights by connecting data analytics with business objectives and measurable outcomes. Support data quality, governance, and continuous improvement initiatives. Primary Skills (Must Have) ETL Development & Data Warehousing Data Engineering & Enterprise Data Systems Power BI & Tableau Python & Predictive Analytics SQL & Data Transformation Secondary Skills (Good To Have) Business Analytics & Data Visualization Governance & Process Optimization Stakeholder Management & Consulting Predictive Modeling & Regression Analysis Entrepreneurial / Consulting Experience Preferred Qualifications MBA in Business Analytics or related field. Strong analytical, problemsolving, and communication skills. Ability to work in crossfunctional and clientfacing environments. Experience in consulting, training, or business transformation initiatives is an added advantage. Core Competencies DataDriven Decision Making Business Strategy Alignment Process Reengineering & Governance Leadership & Stakeholder Collaboration Innovation & Continuous Improvement Skills etl, sql, ssis, metadata management, informatica, data quality management .