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Job Description
Structured overview of role & requirementsAbout This Role
Lead investigation and resolution of complex data support tickets involving data pipelines, transformations, quality issues, and integration failures.
Drive root cause analysis, define corrective and preventive controls, improve monitoring and documentation for data engineering operations.
Collaborate across teams to build and maintain data pipelines, support production deployments, and guide junior engineers on operational support tasks.
Minimum Requirements
Bachelors Degree in Computer Science, IT, Data Engineering, Engineering, Statistics, or related discipline.
5+ years of experience in data engineering, ETL/ELT, SQL development, data analysis, or production support roles.
Strong skills in SQL, data modeling, pipeline monitoring, data quality checks, API usage, and troubleshooting production data issues.
Work Experience Required: 5+ years in relevant data engineering and support functions.
Ideal Candidate Profile
Experienced in root cause analysis, incident resolution, ticket governance, operational documentation, and support handoff.
Capable of leading and guiding junior engineers while coordinating with cross-functional teams and communicating technical results clearly to stakeholders.
Familiarity with cloud data platforms, enterprise data warehouses, manufacturing data, or analytics environments preferred.