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Tier-1 brand and Pune metro raise interest, but senior specialized GCP/PySpark requirement lowers applicant density.
Core cloud and PySpark skills are transferable, but high seniority and banking context increase role specificity.
Explicit 15-year minimum plus many mandatory GCP, PySpark and DevOps skills creates very strict filtering.
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Manage design, development, and unit testing of scalable, maintainable, high performing software on GCP and Big Data platforms in an Agile environment.
Lead and mentor technical team members, driving design and implementation of GCP and PySpark solutions, and enforce continuous integration practices.
Identify legacy software components and provide technical solutions for upgrades, ensuring solution quality and progress reporting through Agile tools.
15+ years of hands-on experience in PySpark and GCP platform including Bigquery, Dataproc, Composer, Terraform, GKE, Cloud SQL, Cloud Functions.
Strong experience in continuous integration setup and DevOps tooling (GIT, TeamCity, Maven, SONAR), Kubernetes/Docker, and SDLC tools like Jira, HP ALM.
Proficient in working with APIs and microservices (SOAP, REST, XML, JSON) and fluent in English communication (written and verbal).
Work Experience Required: 15+ years in relevant technologies and platform experience.
Senior technical leader with deep expertise in PySpark and Google Cloud Platform technologies and large-scale Big Data application design.
Experienced in leading Agile teams with hands-on development and mentoring responsibility, comfortable working in virtual/matrixed organizations.
Technologist with strong analytical skills, practical knowledge of design patterns, and capability to drive continuous integration and DevOps best practices.