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Popular data-engineer title with broad skills required and likely metro hiring increases applicant competition.
SQL, data pipelines, and troubleshooting skills are broadly transferable across industries.
Explicit 2+ years and SQL/ETL support requirements create moderate filtering without niche certifications.
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Support data processing and analysis for Future Factory solutions by investigating and troubleshooting data-related support tickets.
Monitor data quality, perform data validation, reconciliation, and support resolution activities under guidance from senior engineers.
Document troubleshooting processes and coordinate with multiple teams to resolve data issues effectively.
Bachelor’s Degree in Computer Science, IT, Data Engineering, Engineering, Statistics, or related discipline.
Minimum 2 years of experience in data analysis, SQL, data support, reporting or ETL support, or related roles.
Working knowledge of SQL queries, data validation, spreadsheet analysis, and basic troubleshooting skills.
Experience with ticketing systems and production support; exposure to data pipelines, APIs, or manufacturing data environments preferred but not mandatory.
Candidate with operational experience supporting data pipelines and production data environments, able to follow documented playbooks and work under supervision.
Strong analytical skills and attention to detail with ability to coordinate across technical and business teams for issue resolution.
Experience or interest in manufacturing data processes and eagerness to grow in data engineering support roles.