Job Description
Must Have Technical/Functional Skills
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● Experience: 12+ years of experience in GCP Data Architecture & ETL/ELT pipeline creation, BigQuery, Cloud Platforms or Data Engineering, with at least 5 years as an Architect.
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● Strong programming in Python and Java; query & storage optimization.
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● Cloud Proficiency: Deep expertise in BigQuery, Cloud Storage (GCS), and data orchestration (Cloud Composer / Airflow). Data processing using Dataflow, Dataproc, and microservices. Strong experience with at least one major cloud provider (AWS, GCP, or Azure) and their managed Kubernetes offerings.
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● GenAI & Platform: Practical application development using Gemini Enterprise, Vertex AI, and RAG concepts. Foundation in DevOps (Docker, GKE, CI/CD, IAM).
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● Kubernetes Mastery: Deep, hands-on experience managing production Kubernetes environments, including cluster scaling, RBAC, network plugins (CNI), and storage (CSI).
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● Deployment Tooling: Proven track record of designing complex deployments using Helm and GitOps controllers (ArgoCD/Flux).Scripting & Automation: Proficiency in at least one programming or scripting language (Python, Go, or Bash) for automation and tooling.
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