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Tier-1 brand plus mid-level data role and metro hiring drive high applicant competition.
Core data engineering skills are highly transferable across industries, so background fit sensitivity is low.
Explicit 3+ years and many mandatory technologies make shortlisting strict and selective.
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Design and develop secure, scalable software solutions leveraging Java, SpringBoot, AWS, and data lake technologies within an agile environment.
Create and maintain production-quality code and supporting algorithms, ensuring alignment with architecture and design constraints.
Analyze large diverse data sets to identify issues and drive continuous improvements in coding hygiene and system architecture.
3+ years of hands-on experience designing and building components using Java, SpringBoot, AWS, PostgreSql, and Cassandra.
Practical experience with Glue, S3, Iceberg, Data Lake concepts, Kafka, and Snowflake.
Experience using enterprise-authorized AI-assisted software development tools, validating outputs for correctness, performance, and security.
Work Experience Required: 3+ years of applied software engineering experience.
Experienced in applying AI-assisted coding tools responsibly within secure and compliant engineering workflows.
Skilled at handling complex enterprise software development challenges involving large data sets and multiple distributed technologies.
Proficient in agile SDLC practices including CI/CD, with awareness of application resiliency and security requirements.