Lead Data Engineer - R01564862

Key Responsibilities

• Design, develop, and maintain scalable ETL pipelines and enterprise data integration solutions
• Build and optimize modern data platforms, data warehouses, and analytics ecosystems
• Develop and manage complex SQL, PLSQL, and T-SQL scripts, stored procedures, and data transformation workflows
• Work with ETL and data integration tools such as Talend, Matillion, and IICS to support enterprise data processing requirements
• Collaborate with business stakeholders, analytics teams, and engineering teams to gather requirements and deliver data-driven solutions
• Design and implement scalable data models and data warehousing architectures for business intelligence and analytics platforms
• Ensure high standards of data quality, governance, validation, and monitoring across enterprise data systems
• Support cloud-based data engineering and migration initiatives across AWS, Azure, or GCP platforms
• Utilize metadata management and data cataloging tools such as Alation to improve data governance and accessibility
• Participate in Agile development processes including sprint planning, code reviews, testing, and continuous improvement initiatives
• Troubleshoot and optimize ETL workflows, database performance, and large-scale data processing systems
• Mentor junior engineers and provide technical leadership on best practices in ETL and data engineering