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We are looking for an experienced Solution Designer/Platform Engineer to join ourNetworks Data & Analytics team. You will play a key role in maintaining and evolving alarge-scale, cloud-native data platform built on G…
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About the role
We are looking for an experienced Solution Designer/Platform Engineer to join ourNetworks Data & Analytics team. You will play a key role in maintaining and evolving alarge-scale, cloud-native data platform built on Google Cloud Platform (GCP),supporting data ingestion, processing, and delivery at enterprise scale.
What You'll Work On Designing and building data lakehouse framework in Big Query while usingPython. Designing and building CI/CD pipelines from the ground up, including webhooktriggers, branch strategies, approval gates, rollback mechanisms, and multi-environment promotion (Dev , SIT, STG, PreProd , Production). Experience inGitlab is preferred. Architecting and delivering reusable platform frameworks and shared tooling fromscratch, not just maintaining them, including pipeline templates, metadata-driveningestion frameworks, and modular infrastructure stacks Managing Infrastructure as Code (IaC) using Terraform across layered cloudarchitectures Driving observability across the platform, dashboards, alerting, and monitoringusing Dynatrace and related tooling Ensure platform has no vulnerabilities e.g. MFA, Prisma, Nessus, PIAM, MFA,UAM, Encryption etc Supporting platform onboarding activities including security scanning setup,IAM/access provisioning, and connectivity requests (firewall rules, SFTP keymanagement, network routing between systems)
Key Skills: Hands on experience in Python and setting up data warehouse frameworkpreferably in native GCP tools. CI/CD: Proven, hands-on experience building CI/CD pipelines from scratch, notjust operating existing ones. Must have set up trigger configuration, branchprotection, environment promotion gates, and rollback strategies end-to-end(Cloud Build, GitLab CI, or similar)
Framework Development: Demonstrated experience designing and buildingplatform frameworks from the ground up, reusable components, shared libraries,and templated tooling that engineering teams build on top of IaC: Terraform for provisioning and managing cloud infrastructure GCP: Working knowledge of core GCP services, Cloud Composer (Airflow),BigQuery, Pub/Sub, Cloud Run/Functions, Artifact Registry, Secret Manager Observability: Experience with Dynatrace or equivalent monitoring platforms;ability to set up alerting, dashboards, and pipeline health checks Platform Support: Experience onboarding teams onto platform services includingsecurity scanning, access management, and network connectivity/firewallconfiguration
Good to Have: Understanding of networking concepts, inter-system connectivity, firewall rules,proxy configurations, and data transfer protocols (SFTP, Kafka) Familiarity with Confluent Kafka or event-streaming platforms
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