Miracle Software Systems - Google Cloud Platform Data Engineer

<p><p><b>Position</b> : :</b></p><p><b><br/></b></p><p>- Design, develop, and optimize batch & streaming pipelines using Dataflow (Apache Beam), Pub/Sub, Dataproc, Data Fusion.<br/></p><p><br/></p><p>- Build and manage data lakes & warehouses on Cloud Storage + BigQuery; implement partitioning, clustering, cost controls.<br/></p><p><br/></p><p>- Establish data governance with Dataplex and Data Catalog (lineage, classification, policies).<br/></p><p><br/></p><p>- Productionize with Cloud Build (CI/CD), Cloud Logging, Cloud Monitoring/Alerting, Error Reporting.<br/></p><p><br/></p><p>- Define data models, performance SLAs, and reliability (backfills, retries, DLQs, IaC).<br/></p><p><br/></p><p>- (Architect plus) Lead solution design, reference architectures, security patterns (IAM, VPC-SC, Skills :</b></p><p><b><br/></b></p><p>- Deep GCP expertise : BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Data Fusion, Dataplex, Data Catalog.<br/></p><p><br/></p><p>- Strong Python and SQL; Beam/Spark proficiency.<br/></p><p><br/></p><p>- CI/CD with Cloud Build, Git; orchestration via Cloud Observability & SRE practices on GCP : metrics, tracing, log-based alerts.<br/></p><p><br/></p><p>- Data modeling (lakehouse/warehouse), performance tuning, cost optimization.<br/></p><p><br/></p><p>- Security-by-design : IAM, service accounts, secrets, perimeter controls.<br/><b><br/></b></p><p><b>Nice to Have :</b></p><p><b><br/></b></p><p>- Terraform, Cloud Functions, Looker/Looker Studio, BigQuery ML/Vertex AI integration.<br/></p><p><br/></p><p>- GCP Professional Data Engineer and/or Professional Cloud Architect certification.<br/></p><p><br/></p><p>- Client-facing solutioning and estimation experience.</p><br/></p> (ref:hirist.tech)