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Strong employer brand, metro location, mid-level generalist data role, and broad ETL/tool requirements increase competition.
ETL and Informatica skills are transferable across industries, but banking regulatory context increases domain specificity.
Explicit 4+ years and mandatory SSIS/Informatica/Python/SQL ETL skills create strict shortlisting filters.
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Lead and deliver moderately complex technical initiatives involving SSIS, Informatica PowerCenter, and IDMC/IICS in data integration environments.
Design, develop, test, and maintain scalable ETL/ELT pipelines and modernize legacy systems using Python and cloud data platforms.
Provide technical leadership, guide less experienced staff, and support production deployments including incident management and performance tuning.
Minimum 4+ years of software engineering experience or equivalent through education, training, or military experience.
Proficiency with SSIS, Informatica PowerCenter, and Informatica Intelligent Data Management Cloud (IDMC/IICS).
Strong skills in Python (Pandas, PySpark), advanced SQL (SQL Server, Oracle), and experience with ETL/ELT pipelines.
Experience with enterprise scheduling and orchestration tools (e.g., Control-M, Autosys, SQL Agent, Informatica Scheduler).
Experienced senior data engineer with hands-on expertise in legacy-to-modern ETL migrations and data warehousing.
Able to lead complex data integration solutions that involve multiple data sources including relational databases, APIs, cloud storage, and SaaS platforms.
Demonstrated capability to build automation frameworks and ensure robust error handling, audit logging, restartability, and compliance with governance requirements.