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Medium due to a popular data-engineer title and broad full-stack data engineering skillset.
Medium because core data engineering skills transfer across industries but senior leadership and enterprise-data experience matter.
High due to explicit 10–12 years requirement and mandated SQL, Python, data engineering, and DevOps skills.
Lead and manage a team of 5-8 Data Engineers delivering enterprise-scale data engineering solutions.
Provide technical leadership including design, code reviews, establishing development standards, and solving complex technical issues.
Drive development and optimization of ETL/ELT pipelines, data quality frameworks, SQL performance tuning, and DevOps release management.
10–12 years of IT experience in Data Engineering and Application Development.
At least 4 years of experience leading technical teams.
Bachelor’s degree in Computer Science, IT, Engineering, or related discipline.
Strong expertise in Python, Microsoft SQL Server, ETL/ELT development, data quality management, SQL performance optimization, Git source control, and CI/CD release processes.
Experienced in delivering and scaling enterprise data engineering solutions and managing technical delivery risks.
Demonstrates strong hands-on technical leadership with mentoring and direct involvement in complex development tasks.
Effectively collaborates with cross-functional teams and communicates structured technical guidance under pressure.