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Tier-1 brand, metro location, but senior niche GCP+PySpark requirements reduce density.
Core GCP and PySpark skills are transferable, but banking regulation and legacy mainframe knowledge increase domain specificity.
Explicit 15+ years plus extensive mandatory GCP, PySpark, Terraform, Kubernetes and CI/CD requirements.
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Manage design, development, and unit testing of GCP and Big Data applications, ensuring quality, scalability, and high performance.
Lead and technically guide a team of developers, enforcing best practices and continuous integration in an Agile environment.
Drive solutions addressing user stories, legacy system upgrades, and sprint objectives while maintaining task priorities and deliverables.
Minimum 15 years of experience in Solution Design and Lead Development with PySpark and GCP platform.
Hands-on experience with PySpark, BigQuery, Dataproc, Composer, Terraform, GKE, Cloud SQL, Cloud Functions, and DevOps tools (GIT, TeamCity, Maven, SONAR).
Experience in CI build processes automation and development platforms like OpenShift, Kubernetes, Docker.
Proficiency in English (written and verbal); work location: Pune, India.
Experienced in leading technical teams within Agile/Scrum environments focusing on cloud-native GCP and Big Data applications.
Strong operational knowledge of DevOps practices integrated with software development lifecycle and continuous integration.
Capable of independently designing solutions and mentoring junior team members while collaborating virtually in matrixed organizations.