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Tier-1 brand, mid-level generalist title, and metro location increase applicant competition.
Data engineering skills are transferable but financial domain and security/AI constraints moderately limit cross-industry fit.
Explicit 5+ years plus mandatory Big Data, AWS, Python, Spark, and Terraform skills enforce strict shortlisting.
Design, develop, test, and maintain scalable and secure big data pipelines and architectures using Python and AWS services.
Lead adoption and effective use of AI-assisted software development tools to improve code quality, delivery speed, and operational stability.
Evaluate external vendors and internal team architectural proposals to ensure fit within existing systems and drive technical decisions.
5+ years of software engineering experience with formal training or certification.
Hands-on experience with big data platforms, data engineering concepts, data pipeline development, and Python programming including FAST API and Spark.
Technical competence with AWS services including Lambda, Glue, Step Functions, ECS, and infrastructure provisioning using Terraform.
Experience leading use of AI-assisted engineering tools with knowledge of secure coding, operational stability, and data sensitivity standards.
Experienced in end-to-end big data system design and operational support in large enterprise environments.
Proven track record of leading technical adoption of AI-assisted development tools and coaching teams on responsible, secure AI use.
Ability to independently handle complex design and functionality challenges with minimal oversight in agile settings.