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Tier-1 brand, mid-level data role in Bangalore with common Java/Spark skills increases competition.
Core data engineering skills are transferable, but finance/security expectations moderately raise fit sensitivity.
Requires explicit 3+ years, Java and cloud data engineering skills and certifications in a regulated environment.
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Design, develop, and maintain secure and scalable software solutions primarily using Java and cloud technologies.
Transform and analyze large, complex data sets using enterprise data engineering tools including Apache Spark and Databricks.
Leverage AI-assisted development tools to improve code quality, delivery speed, and maintain software lifecycle automation while ensuring secure and compliant outputs.
3+ years of professional software engineering experience including system design, development, testing, and operational stability.
Proficiency in advanced Java frameworks such as Spring and Spring Boot, and experience with database design and SQL querying.
Experience with at least one major cloud platform: AWS, Google Cloud Platform, or Microsoft Azure.
Experience working as a data engineer with enterprise tools handling large datasets and using AI-assisted software development tools with validated output.
Experienced software engineer with strong data engineering background capable of handling large-scale data transformations and analytics.
Comfortable integrating AI-assisted tools responsibly into development workflows with attention to security, data sensitivity, and resiliency.
Familiar with cloud environments and modern software architectures involving microservices, APIs, and containerization to deliver scalable solutions.