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Mid-level data role in metro with common Data Engineer title but specialized migration/dbt skills limit applicant pool.
Medium — core ELT and dbt skills transfer across industries, but Informatica migration experience adds specificity.
High because role mandates Informatica-to-dbt migration, Python EL, Airflow, and database bulk tooling expertise.
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Convert complex Informatica workflows into Python EL scripts and dbt transformation models ensuring functional equivalence.
Develop and maintain high-volume data pipelines landing billion-row tables using Python, SQLAlchemy, cx_Oracle, pyodbc, and bulk export tools.
Design, implement, and orchestrate dbt models and Airflow DAGs, including CI/CD integration, testing, and performance troubleshooting.
Experience with Informatica workflows, Python EL pipelines, dbt transformations, Airflow orchestration, and CI/CD processes.
Strong SQL skills with familiarity in Oracle and SQL Server databases including bulk export tools (Oracle Data Pump, SQL Server BCP).
Work Experience Required: Not explicitly mentioned in the JD.
Not explicitly mentioned in the JD for mandatory degree, notice period, or location constraints.
Proven ability to translate legacy ETL processes into modern EL/ELT frameworks like Python and dbt within data warehousing contexts.
Experience handling extremely large datasets (billion-row tables) and troubleshooting data integrity across source and target systems.
Comfortable operating in a DevOps environment involving GitLab CI/CD pipelines, automated testing, and collaborative code reviews.