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Metro locations, broad data skillset and a generalist title raise applicant density moderately.
Role requires specialized data engineering, DB and ETL expertise, moderately limiting cross-industry transferability.
Explicit eight-year requirement plus specific data engineering, DB and Python expertise narrows candidate pool significantly.
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Engineer and maintain high performance, secure, and customer-centric software solutions within a feature team environment.
Produce complex and critical software rapidly and with high quality throughout the full software lifecycle from development to decommissioning.
Collaborate with engineers, architects, and business analysts to optimize software engineering capabilities and deliver robust code implementations.
Minimum 8 years of experience in software engineering, design, and architecture.
Expertise in Data Engineering focusing on ETL/ELT processes and data integration solutions.
Proficient in Python development for data processing, automation, and AI/ML data workflows.
Experience with Oracle, PostgreSQL, AuroraDB, plus DevOps, Testing, Agile methodologies and toolsets.
Experienced in designing scalable and optimized data pipelines and database schemas across multiple database platforms.
Skilled in solving highly complex analytical and numerical problems related to data engineering and software development.
Capable of implementing best practices around scalability, automation, virtualisation, availability, and performance in software delivery.