Back
Tier-1 brand, mid-level data role, and metro appeal increase applicant competition.
Core data engineering skills transfer broadly, but banking controls and domain knowledge increase sensitivity.
Explicit 3+ years and many mandatory data engineering, cloud, and tool requirements.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own end-to-end data strategy, governance, risk management, reporting, and analytics solutions impacting business functions.
Design, develop, test, deploy scalable, extensible data and analytics applications with Java, Python, Scala, Spark, and Ab Initio/Informatica.
Manage cloud development and deployment on AWS, while integrating enterprise AI-assisted software development tools to improve code quality and delivery.
3+ years software engineering experience with formal training or certification.
Expertise in Java, AWS, Database technologies, Python, Scala, Spark, Ab Initio or Informatica.
Experience with complex SQL development and Data Warehousing concepts including Star Schema.
Hands-on experience with AI-assisted software development tools and responsible AI practices in engineering workflows.
Experienced in delivering complex data and analytics projects with hands-on data platform engineering (batch and streaming ingestion, storage, processing).
Skilled in cloud-based development (AWS preferred) and use of AI-assisted coding tools with ability to critically evaluate AI outputs.
Focused on scalable, secure, and compliant data engineering solutions aligned with industry best practices and data governance.