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Tier-1 metro mid-level data role with common data skills but niche Informatica-to-dbt migration reduces qualified applicant density.
Strong Informatica and data-migration specificity limits transferability across unrelated industries.
Multiple explicit years requirements and mandatory Informatica, dbt, Python, and SQL skills enforce strict shortlisting.
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Design and implement Python-based extract/load pipelines and dbt transformations to migrate data workflows from Informatica PowerCenter to a modern data stack.
Develop Airflow DAGs to orchestrate migration workflows ensuring functional equivalence to original Informatica processes at enterprise scale.
Deliver production-quality, high-volume data migration solutions with a focus on performance, validation, and automation including CI/CD integration.
Minimum 5+ years of Informatica PowerCenter experience including mappings, sessions, workflows, and parameterization.
At least 3 years of hands-on dbt Core experience with model layering, macros, tests, and incremental materializations.
5+ years of Python programming experience, including batch data processing and parallelism, and 5+ years of SQL including complex queries on large datasets.
Experience developing Airflow DAGs and workflows; familiarity with Oracle Data Pump or SQL Server bulk export tools for high-volume data movement.
Experienced technical contributor comfortable converting complex ETL workflows into code-based pipelines (Python, dbt, Airflow).
Skilled in developing scalable, tested, and automated data migration solutions for enterprise-scale environments.
Able to operate within offshore delivery models and contribute to knowledge transfer with peers and junior engineers.