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Tier-1 bank, mid-level generalist data engineer in Hyderabad with common stack attracts high candidate density.
Core data engineering tools and cloud skills are broadly transferable across industries.
Explicit 3+ years plus many mandatory technologies (Glue, Kafka, Snowflake, Java, AWS) increases shortlisting strictness.
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Design, develop, and maintain secure, scalable software solutions using Java, SpringBoot, AWS, and data lake technologies.
Use AI-assisted development tools to improve code quality, speed, and productivity while ensuring secure and high-quality outputs.
Analyze and visualize large diverse data sets to drive continuous improvement in software applications and system architecture.
3+ years of applied software engineering experience.
Proficient in Java, SpringBoot, AWS, PostgreSQL, Cassandra, Glue, S3, Iceberg, Kafka, and Snowflake.
Experience in using enterprise-authorized AI-assisted software development tools with ability to validate AI outputs for correctness, security, and performance.
Knowledge of Software Development Life Cycle, CI/CD, application resiliency, and security principles.
Experienced in enterprise-scale software environments using data lake and messaging technologies (Kafka, Snowflake).
Comfortable applying AI-assisted development tools critically within agile and CI/CD workflows.
Capable of integrating software engineering best practices with secure and resilient system design in banking or similarly regulated industries.