GCP Data Platform Engineer - Automation & Innovation Department
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MidFull-time
#370290·Dodano 20 dni temu·2
Źródło: nofluffjobs.comTech 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
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