Back
Tier-1 bank, metro Bengaluru location, mid-level data-engineer title, and broad tech requirements increase competition.
Technical data engineering skills transferable, but finance domain practices and secure workflows increase domain specificity.
Explicit 3+ years, required data engineering skills, cloud and Spark/Databricks indicate strict technical filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and maintain secure, high-quality software solutions and algorithms in an agile environment.
Leverage AI-assisted coding tools for code generation, refactoring, testing, and documentation while ensuring output validation.
Analyze and visualize large, diverse data sets to identify problems and drive continuous improvement in software applications and systems.
3+ years of applied software engineering experience with formal training or certification.
Hands-on experience in advanced Java frameworks including Spring and Spring Boot, and proficiency in database design and SQL querying.
Experience with at least one cloud vendor: AWS, Google Cloud Platform, or Microsoft Azure.
Experience as a data engineer transforming large, complex data using enterprise tools and using AI-assisted software development tools critically and securely.
Experienced in system design and operational stability within large corporate environments applying AI-assisted development tools.
Skilled in working with large, complex datasets to proactively identify issues and improve system architecture and coding hygiene.
Familiar with cloud environments and data engineering technologies such as Apache Spark, Databricks, and data lake architectures.