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Клиентские проектыСовременный стекПонятные задачи
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
GCP Data Engineer (BigQuery/dbt): Building data pipelines, ELT processes, and Data Quality controls for cloud-based data solutions with an accent on BigQuery, dbt Core, migration, and GCP platform integration. Focus on optimizing Data Quality execution, developing monitoring repositories, supporting testing, and coordinating with Data Modelers, Business Analysts, and Test Engineers.
Location: Poland; work from the European Union region and a work permit are required.
Company
hirify.global is a global AI-first digital transformation and engineering partner delivering scalable products, platforms, data-driven solutions, and cloud services across 16 countries.
What you will do
Build and develop data pipelines and ELT processes.
Implement Data Quality metrics in dbt and migrate Data Quality controls from the legacy environment.
Prepare mappings between existing and target solutions and develop controls using BigQuery.
Build repositories for Data Quality monitoring results and integrate solutions with GCP platform services.
Optimize Data Quality execution performance and support technical and business testing.
Contribute to technical and operational documentation while working with Data Modelers, Business Analysts, and Test Engineers.
Requirements
Proven experience as a Data Engineer, including building and maintaining data pipelines.
Experience with ETL/ELT processes, data migration and transformation activities, modern data platforms, and data processing workflows.
Strong SQL skills and strong analytical and problem-solving abilities.
Knowledge of Data Quality monitoring concepts.
Experience with system integrations.
Experience with GCP, including BigQuery, and dbt Core.
Ability to work effectively in cross-functional teams.
Eligibility to work from the European Union region and possession of a work permit.
Nice to have
Experience migrating legacy data solutions to cloud environments.
Experience in banking or other regulated industries.
Familiarity with testing and validation of data solutions.
Experience creating technical documentation.
Culture & Benefits
Work in a global engineering and digital transformation organization with more than 5,000 professionals across 16 countries.
Collaborate with nearly 1,000 experts in the CEE region.
Work with cloud and data technologies including AWS, Azure, GCP, Databricks, and Snowflake.
Participate in a strong engineering culture focused on knowledge sharing, continuous growth, and engineering excellence.
Hiring process
CV review.
HR call followed by an interview and client interview.
Decision.
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