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Tier-1 brand and metro location increase competition, but specialized GCP/data platform skills narrow the candidate pool.
Requires regulated financial services and eDiscovery platform experience, reducing cross-industry transferability.
Mandatory deep GCP, Terraform, BigQuery and regulated-enterprise experience increases screening strictness.
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Design and operate secure, compliant Google Cloud Platform architectures supporting large scale data ingestion, processing, analytics, and enterprise archiving for eDiscovery and Archiving Technology.
Develop and maintain end-to-end data pipelines and governed analytics platforms using GCP services such as Cloud Composer, Dataflow, Pub/Sub, BigQuery, GKE, Cloud Run, and Infrastructure as Code with Terraform.
Collaborate with architects, security, compliance, and product teams to ensure solutions meet regulatory expectations and bank policies, lead design reviews, and mentor engineers on best practices.
Certified GCP Professional Cloud Engineer preferred.
Proven experience managing large scale production GCP environments, preferably in regulated financial services or enterprise contexts.
Strong hands-on proficiency with GCP data engineering tools (Cloud Composer, Dataflow, Pub/Sub, BigQuery, Cloud Storage) and infrastructure automation using Terraform.
Work Experience Required: Not explicitly mentioned in the JD; Location: Pune, India.
Experienced in engineering secure, compliant, scalable cloud data platforms within highly regulated industries, ideally financial services.
Demonstrates advanced expertise in BigQuery analytics, Java and Python (including PySpark) for system integration and data transformation at scale.
Operates effectively as a senior engineering authority able to collaborate with cross-functional teams and influence technical and compliance decisions at senior levels.