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Mid-level generalist data engineering role with common skills at a known multinational, yielding moderate applicant competition.
Core data engineering skills (SQL, ETL, monitoring) are highly transferable across industries.
Explicit 5+ years plus mandatory data engineering and production-support skills create moderately strict filters.
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Lead investigation and resolution of complex data support tickets involving pipelines, transformations, and integration failures.
Drive root cause analysis and implement corrective actions, preventive controls, and monitoring for data engineering operations.
Collaborate with cross-functional teams to build and improve data pipelines, provide guidance to junior engineers, and support production deployments and data quality governance.
Bachelor’s Degree in Computer Science, IT, Data Engineering, Engineering, Statistics, or a related discipline.
Minimum 5 years of experience in data engineering, ETL/ELT, SQL development, production support, or related roles.
Strong proficiency in SQL, data modeling, data transformation, pipeline monitoring, data quality checks, APIs, and production data issue troubleshooting.
Work Experience Required: 5+ years relevant experience.
Experienced in root cause analysis, incident resolution, and operational documentation within data engineering contexts.
Ability to coordinate with multiple stakeholders and guide junior engineers effectively.
Familiarity with cloud data platforms, enterprise data warehouses, manufacturing data, or analytics environments preferred.