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Tier-1 brand, metro Hyderabad, mid-level generalist stack and broad skill demands increase competition.
Data engineering and Spark expertise transfer across industries but require specific cloud and big-data tooling familiarity.
Explicit 3+ years requirement plus mandatory Spark, AWS, Terraform, and secure coding makes shortlisting stringent.
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Designs, develops, and troubleshoots secure, high-quality software solutions using Spark and cloud technologies.
Produces architecture and design artifacts ensuring software meets design constraints and operational stability.
Leverages enterprise-authorized AI-assisted development tools to improve code quality, delivery speed, and team productivity.
3+ years of applied software engineering experience with formal training or certification.
Proficient coding skills in Spark (Java/Python) and experience with AWS services including EKS/ECS and Terraform.
Hands-on experience with enterprise-authorized AI-assisted software development tools, including validation and refinement of AI-generated outputs.
Knowledge and practical experience of Software Development Life Cycle and agile methodologies such as CI/CD.
Experienced in developing and maintaining software in large corporate environments with strong cloud (AWS) and microservices exposure.
Skilled in applying AI-assisted coding tools within secure and resilient engineering workflows emphasizing responsible AI use.
Capable of producing and maintaining complex, scalable, and secure software architecture and contributing to software engineering best practices.