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Tier-1 employer, popular cloud role in Pune with broad GCP skillset increases candidate competition.
Specialized regulated eDiscovery and enterprise GCP platform needs make cross-industry transfer moderately constrained.
Requires deep GCP, Terraform, BigQuery, and regulated enterprise experience, making filters highly stringent.
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Design, build, and operate secure, compliant, and resilient Google Cloud Platform (GCP) solutions for large scale data ingestion, processing, analytics, and enterprise archiving within regulated financial services context.
Develop and maintain end-to-end data pipelines and governed data platforms leveraging Cloud Composer, Dataflow, Pub/Sub, BigQuery, GKE, and Cloud Run, ensuring scalability, performance optimization, and observability.
Collaborate with architecture, security, compliance teams, and product delivery to enforce policies, lead design reviews, mentor engineers, and produce operational runbooks and stakeholder communications.
Proven experience in engineering and operating large scale, production GCP environments in regulated enterprise contexts (financial services preferred).
Strong hands-on expertise with GCP data engineering tools: Cloud Composer, Dataflow, Pub/Sub, BigQuery, Cloud Storage, GKE, Cloud Run, and Terraform.
Proficiency in Java and Python for data processing and automation including PySpark.
GCP Professional Cloud Engineer certification preferred; Work Experience Required: Not explicitly mentioned in the JD.
Experienced senior engineer comfortable leading cross-functional engagements in regulated, large-scale financial services environments specialized in GCP cloud and data platform engineering.
Strong technical skills in cloud native data pipeline construction, infrastructure as code, and performance optimization with advanced BigQuery and container orchestration experience.
Capable of translating complex architecture requirements into compliant, automated, and observable production systems, mentoring peers and influencing senior stakeholders.