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Tier-1 employer, metro location, mid-level generalist role increases applicant competition.
Core ETL and Python skills transfer across industries, but enterprise banking compliance nudges domain specificity.
Multiple mandatory ETL tools, Python and SQL expertise plus explicit years makes filtering strict.
Lead and deliver moderately complex technical initiatives in software engineering focused on ETL/ELT pipelines using SSIS, Informatica PowerCenter, IDMC, and Python.
Design, develop, test, and optimize data integration solutions across databases and cloud platforms, ensuring robust error handling and performance tuning.
Play a leadership role by guiding teams, resolving technical escalations, supporting production deployments, and establishing best practices in data integration workflows.
Minimum 4+ years of software engineering experience or equivalent demonstrated experience.
Technical expertise with SSIS, Informatica PowerCenter, Informatica IDMC/IICS, advanced SQL (SQL Server, Oracle), and Python (including Pandas, PySpark).
Experience in designing, developing, and maintaining ETL/ELT pipelines and data integration processes across heterogeneous sources.
Not explicitly mentioned: notice period and mandatory educational qualifications.
Has prior experience leading moderately complex data integration or migration projects involving modernization from PowerCenter/SSIS to IDMC and Python-based frameworks.
Experienced in collaborating with cross-functional teams like business analysts and architects to translate business requirements into scalable ETL solutions.
Comfortable taking escalation ownership on technical challenges and guiding less experienced engineers in an enterprise risk and compliance context.