Google Cloud Data Engineer – Remote from Czech Republic

Kontaktná osoba:

Matej Cintula
421908062054
cintula@sandyou.sk

IT a Telekomunikácie

Plat
from 80000CZK/monthly (final salary depends on seniority of the candidate)

Druh pracovného pomeru
Plný úväzok, Samostatne zárobková činnosť

Miesto práce
Hlavné mesto Praha,Česká republika

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Popis pozície

Build data solutions that scale. Work with Google Cloud technologies that actually matter.

We are looking for an experienced Google Cloud Data Engineer to join a team working on modern, scalable data platforms built on Google Cloud Platform (GCP).

You will work hands-on with BigQuery, Dataflow, Airflow / Cloud Composer and Python or Scala, designing data pipelines and solutions used for large-scale data processing and analytics.

If you enjoy solving complex data challenges rather than simply maintaining existing systems, this could be the right opportunity for you.

Nature of your work:

Design, build and maintain scalable ETL/ELT data pipelines
Develop and improve Data Lake and Data Warehouse solutions
Build data processing workflows using Google Cloud Dataflow
Work extensively with BigQuery and large datasets
Orchestrate data workflows using Apache Airflow / Cloud Composer
Work with Google Cloud Storage
Design and optimize data models
Improve data quality, reliability, security and performance
Optimize solutions for large-scale and distributed data processing
Cooperate with Data Architects, Data Engineers and Analytics teams
Participate in the implementation and improvement of CI/CD pipelines
Work with Infrastructure as Code

Benefity

Home office
️MultiSport card
Training and professional development
Support with professional/technical certifications
International know-how and career opportunities
International projects and teams

Požiadavky

Google Cloud Platform (GCP)
BigQuery
Dataflow
Apache Airflow / Cloud Composer
Strong SQL
Python or Scala
Data modelling
Distributed systems and scalable data processing

O firme

A global technology and consulting company focused on cloud, data, AI and digital transformation. Work on international projects using modern technologies. Strong focus on professional development and career growth.

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