GCP Data Platform Engineer - Automation & Innovation Department

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MidFull-time
#370290·Dodano 20 dni temu·2
Źródło: nofluffjobs.com
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Tech Stack / Keywords

CloudStoragePUBLookerData migrationData LakeGCPInfrastructure as CodeTerraformLinuxBigQueryDockerKubernetesGitLab CICD pipelinesCommunication skillsSparkScalaJava

Firma i stanowisko

T-Mobile Polska is undertaking a new strategic data transformation project focused on moving analytics from on-premise to Google Cloud Platform (GCP). The project involves building data architecture and data models from the ground up with a strong focus on business value creation and customer experience (CX).

Wymagania

  • 3+ years of experience as a Data Platform Engineer in a data-driven environment, preferably with GCP.
  • Experience developing enterprise-ready solutions based on GCP data services (BigQuery, Cloud Storage, Pub/Sub, Dataproc, Composer, Cloud Run, Looker, Vertex AI).
  • Experience in large-scale data migration or cloud transformation projects.
  • Experience with modern data platform patterns, including data lakehouse architectures on GCP.
  • Hands-on experience with Infrastructure-as-Code tools, including Terraform/Terragrunt.
  • Proficiency in Python.
  • Experience with Linux, Docker/Kubernetes, and GitLab CI/CD pipelines.
  • Very good command of English (spoken and written).
  • Strong communication skills to explain complex technical concepts to business stakeholders.

Nice to have:

  • Degree in Computer Science.
  • Experience with Spark.
  • Knowledge of Scala or Java.
  • Knowledge of data governance, metadata, and data quality tools.
  • Experience collaborating with business stakeholders.

Obowiązki

  • Develop reusable frameworks for data processing and testing on GCP (e.g., BigQuery, Dataflow/Dataproc, Composer).
  • Build and maintain batch and streaming data ingestion pipelines from various sources (databases, Kafka/MQ, APIs, files) into GCP.
  • Implement automated tests and data quality checks for data pipelines.
  • Collaborate with analysts and data scientists to deliver reliable, well-documented datasets.
  • Monitor, optimize and secure data pipelines in line with data governance and compliance standards.
T-Mobile

T-Mobile

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