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Mid-level data engineering role in metros with common title but specialized migration skills, generating moderate competition.
Core data engineering skills transfer well across industries, though Informatica migration expertise is somewhat niche.
Multiple mandatory, tool-specific minimums (Informatica, Python, SQL, dbt, Airflow) create strict filtering.
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Design and implement Python-based extract/load pipelines, dbt transformations, and Airflow orchestration for migrating Informatica PowerCenter workflows to a modern data stack.
Translate complex Informatica workflows into functionally equivalent Python EL scripts and dbt models ensuring enterprise-scale production-quality output.
Maintain and troubleshoot data pipelines, orchestrate workflows via Airflow DAGs, perform code reviews, and contribute to technical documentation and deployment automation.
Minimum 5 years of Informatica PowerCenter experience including mappings, sessions, workflows, and parameterization.
At least 3 years hands-on experience with dbt Core and Airflow for data transformations and orchestration.
Minimum 5 years Python and SQL experience with ability to handle parallelism, batch processing, and complex queries on large datasets.
Experience with high-volume data movement tools such as Oracle Data Pump or SQL Server BCP / BULK INSERT.
Demonstrated success in converting complex ETL workflows from legacy tools to cloud-native or modern data stacks using Python, dbt, and Airflow.
Comfortable in a senior technical delivery anchor role with responsibilities including peer code review and mentoring junior engineers in offshore delivery setups.
Strong operational ownership for pipeline performance, data quality validation, and automation of CI/CD processes.