Cyclad

Cloud Data Migration Architect

25.2k - 31.9k PLN25 200 - 31 900 PLN/ mies./ mies.B2BB2B (netto)

MidZdalnie·WrocławFull-time·B2B

#378699·Dodano 3 miesiące temu·2

Źródło: SOLID.Jobs

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Tech Stack / Keywords

GCP BigQueryTeradataCloud Data MigrationDatabricksGoogle Cloud DataprocSQL Python JavaData LakeData warehouse

Firma i stanowisko

Cyclad is an international consulting company specializing in IT/ICT sectors, providing outsourcing services in HR and IT across diverse industries including Banking, Aviation, Travel, Cybersecurity, and BPO.

Wymagania

Minimum 7+ years of experience in data engineering, cloud architecture, or large-scale data migration projects
Strong hands-on experience as a GCP Data Architect with a focus on BigQuery migrations
Deep expertise in Teradata (mandatory) and strong understanding of legacy enterprise data systems
Proven track record in designing and delivering cloud data migration solutions (Data Lake, Data Warehouse, hybrid architectures)
Practical experience with Databricks and Google Cloud Dataproc
Strong proficiency in advanced SQL tuning and performance optimization
Solid development experience in Python or Java
Strong understanding of data streaming concepts and distributed data processing
Excellent knowledge of cloud data architecture principles and best practices
Ability to work in complex, global environments and coordinate with distributed teams
Strong communication skills and fluency in English

Nice to have:

Experience with Oracle/Exadata environments
Italian language skills

Obowiązki

Lead end-to-end cloud data migration initiatives from legacy data platforms to Google Cloud BigQuery
Design and implement scalable cloud data architectures supporting enterprise-level workloads
Define and execute migration strategies for Data Lakes, Data Warehouses, and hybrid data environments
Work extensively with legacy systems, particularly Teradata, ensuring efficient and secure migration paths
Support architecture decisions for Oracle/Exadata environments (preferred exposure)
Collaborate with cross-functional teams to design data pipelines and integration flows using Databricks and Google Cloud Dataproc
Contribute to data streaming and real-time processing initiatives within large-scale distributed systems
Optimize SQL performance and ensure high-efficiency query execution across complex workloads
Develop and support data engineering components using Python or Java
Ensure best practices in data governance, security, and cloud architecture standards
Participate in system design discussions, technical reviews, and migration planning workshops

Benefity

25.2k–31.9k PLN netto/month (B2B)
Flexible working hours (100%)
Fully remote work
Medical package
Insurance
Sports package

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Cyclad

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