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Tier-1 brand, metro location, and mid-level generalist data role increase applicant competition.
Core data engineering skills are transferable across industries, reducing background sensitivity.
Multiple mandatory technical skills and data engineering experience enforce strict screening.
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Design, develop, and deliver secure, high-quality software solutions using Java and data engineering tools in an agile environment.
Leverage enterprise AI-assisted coding tools to enhance code quality, delivery speed, and system stability while validating outputs rigorously.
Analyze and visualize large, complex data sets to drive continuous improvement in software applications and system architecture.
Minimum 3+ years of applied experience in software engineering with formal training or certification.
Hands-on experience with advanced Java frameworks (Spring, Spring Boot), database design, and SQL querying.
Experience with cloud platforms such as AWS, GCP, or Azure and data engineering transforming large data sets using enterprise tools.
Experience using enterprise-authorized AI-assisted software development tools and understanding of responsible AI use in engineering workflows.
Experienced in system design and operational stability in large corporate environments, especially in data engineering roles.
Comfortable working with AI-assisted development tools and able to critically evaluate and refine AI-generated code.
Familiarity with data lake architecture, Apache Spark, Databricks, microservices, and cloud technologies enhances suitability.