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Remote role, metro hiring and common SQL/ETL skills create moderate applicant density.
Core SQL/ETL skills are transferable, but SaaS and migration domain knowledge moderately constrains fit.
Requires specific SQL/ETL and migration experience but no explicit years, so moderate filtering.
Own and execute end-to-end data migration tasks from legacy systems to Applied Systems SaaS products using SQL-based tools.
Perform data extraction, transformation, cleanup, and validation to ensure data accuracy and business continuity during migration.
Collaborate cross-functionally and across global teams to deliver migration outcomes, support testing and enhancement, and contribute to continuous improvement of data services and tooling.
Strong foundational knowledge of database structures and SQL applied in real-world data migration or related scenarios.
Solid understanding of ETL concepts, data mapping, and data quality best practices.
Bachelor’s degree or equivalent practical experience in Information Systems, Computer Science, Data Science, Software Engineering, or related discipline.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced working in collaborative, global team environments with distributed and follow-the-sun delivery models.
Familiarity or interest in SaaS data migration, Google Cloud Platform (especially BigQuery), and automation/intelligent data tooling.
Ability to manage competing project timelines with high attention to detail and customer focus, while aligning to standardized team processes and delivery goals.