| Senior GCP Data Engineer at Remote, Remote, USA |
| Email: [email protected] |
| From: Mounika, Intelligenz [email protected] Reply to: [email protected] Role: Senior GCP Data Engineer Remote Visa-NoH1b Steer Clear No one < 3 years of experience on GCP No one with only experience in AWS and Azure Data Engineering Requirement GCP -> BigQuery -> Dataflow (Apache Beam) -> Cloud Composer (Airflow) -> GCS -> GKE -> Dataform (Optional to dbt) Programming -> SQL -> Python -> Java (Optional) Tools -> dbt / Dataform(On GCP) -> Test Automation on Data Misc.(Good to Have): -> Docker -> Kubernetes -> Microservices Experience: Data Platform Building (Mandatory) -> Ingestion/Migration -> Transformation/ETL -> Analysis (Optional) -> Visualization (SAP BOBJ/Looker/PowerBI) -> Governance (Unitiy Catalog(tool in databricks)/Colibra(tool)/Data Catalog(Service in GCP) -> Security (GCP Services IAM, KMS, DLP. Techniques ACL's, Row/Column level in BigQuery) Deployment -> CI/CD -> Github -> Cloud Build (Service in GCP) + Terraform Requirements: 10+ (for senior) 15+ (for principal) of proven experience in modern cloud data engineering, broader data landscape experience and exposure and solid software engineering experience. Prior experience architecting and building successful enterprise scale data platforms in a green field environment is a must. Proficiency in building end-to-end data platforms and data services in GCP is a must. Proficiency in tools and technologies: BigQuery, Cloud Functions, Cloud Run, Dataform, Dataflow, Dataproc, SQL, Python, Airflow, PubSub. Experience with Microservices architectures - Kubernetes, Docker and Cloud Run Experience building Symantec layers. Proficiency in architecting and designing and development experience with batch and real time streaming infrastructure and workloads. Solid experience with architecting and implementing metadata management including data catalogues, data lineage, data quality and data observability for big data workflows. Hands-on experience with GCP ecosystem and data lakehouse architectures. Strong understanding of data modeling, data architecture, and data governance principles. Excellent experience with DataOps principles and test automation. Excellent experience with observability tooling: Grafana, Datadog. Keywords: continuous integration continuous deployment Senior GCP Data Engineer [email protected] |
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| Mon Jun 24 20:33:00 UTC 2024 |