Back
Tier-1 brand, metro Bangalore location, and mid-level (5+ years) experience increase candidate competition.
Core data engineering skills are transferable, but Informatica-to-dbt migration expertise raises domain specificity.
Multiple explicit years requirements across Informatica, Python, dbt, and Airflow enforce strict shortlisting.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design and implement Python-based extract/load pipelines and dbt transformation models to migrate data from Informatica PowerCenter to modern data platforms.
Develop Airflow DAGs to orchestrate data workflows ensuring production-quality, functionally equivalent outputs at enterprise scale.
Contribute to CI/CD pipelines, peer code reviews, performance troubleshooting, and technical documentation for large-scale data migration.
Minimum 5 years of Informatica PowerCenter experience (mappings, sessions, workflows, parameterization).
At least 3 years hands-on experience with dbt Core, including model layering, macros, tests, and incremental strategies.
Minimum 3 years of Airflow experience authoring DAGs and managing task dependencies.
5+ years of Python experience with parallelism and batch data processing; 5+ years of SQL experience with complex queries.
Experienced in large-scale enterprise data migration projects involving Informatica to cloud/modern data stacks using Python, dbt, and Airflow.
Technically skilled in advanced SQL, Python libraries for database connectivity (SQLAlchemy, cx_Oracle, pyodbc), and performance troubleshooting.
Capable of mentoring junior engineers and contributing to offshore delivery models with strong code quality and CI/CD practices.