Back
Tier-1 brand, metro locations, mid-level generalist data role with common tech increases candidate competition.
Requires domain-specific financial services compliance and audit expertise, increasing industry fit sensitivity.
Explicit 5+ years, mandatory data platform and Spark/Kafka/AWS expertise make filters strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead design, development, and troubleshooting of platform services to govern open source software acquisition, usage, and compliance at scale.
Build and operate scalable, reliable data platforms and pipelines (batch and streaming) using Spark, Kafka, Airflow, and event-driven/CDC architectures on AWS cloud native services.
Optimize end-to-end data ingestion, processing, and query performance with focus on security, governance, operational readiness, and SLA adherence.
5+ years of applied software engineering experience with formal training or certification.
Strong programming skills and experience building production services and integrations critical to developer workflows.
Hands-on experience designing and operating data pipelines and platforms using technologies including Spark, Kafka, Airflow, and AWS cloud services.
In-depth knowledge of software development lifecycle, secure coding and CI/CD pipelines, with practical experience in distributed data systems, compliance, and observability.
Experienced in enterprise-grade data engineering with deep understanding of Medallion Architecture for scalable, audit-ready data flows.
Demonstrated ability to lead platform service development in complex, regulated environments, especially financial services IT.
Proficient in cloud-native distributed system design, operational management, and implementing governance automation in developer platforms.