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Metro-based, generalist data-engineer role with broad required skills yields high competition.
Enterprise-scale data engineering and MSSQL emphasis increases preference for similar platform experience.
Explicit 10–12 years plus leadership and specific tech mandates make shortlisting highly strict.
Lead and manage a team of 5 to 8 Data Engineers delivering enterprise-scale data engineering solutions.
Architect, develop, and optimize data pipelines, ETL/ELT processes, and SQL Server performance tuning to ensure data quality and operational efficiency.
Drive DevOps best practices, CI/CD pipelines, release management, and technical governance while actively participating in hands-on development during critical phases.
10 to 12 years of relevant IT experience in Data Engineering and Application Development.
Minimum 4 years of experience in leading technical teams.
Bachelor's Degree in Computer Science, Information Technology, Engineering, or related discipline.
Strong technical skills with Python, Microsoft SQL Server (T-SQL, query optimization, stored procedures), data engineering, data quality frameworks, and DevOps practices including Git and CI/CD.
Experienced in managing medium-sized technical teams with a focus on architecture, development standards, and technical mentorship.
Proficient in delivering scalable, maintainable data engineering solutions with strong emphasis on data quality and performance optimization.
Comfortable balancing hands-on coding work with leadership responsibilities in a complex enterprise data environment.