Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Software Engineer (Java, Data Direction) (Java/GCP/Data Engineering): Building scalable batch and streaming data pipelines for an enterprise healthcare data platform with an accent on data quality, cloud-native processing, and SQL-based data modeling. Focus on optimizing Dataflow and BigQuery solutions, integrating enterprise data sources, and supporting modern architectures such as data mesh and lakehouse.
Location: Remote from Bulgaria, Poland, Romania, or Ukraine
Company
hirify.global delivers engineering and technology solutions for enterprise clients, including cloud-native data platforms.
What you will do
Design, build, and maintain scalable batch and streaming data pipelines on Google Cloud Platform.
Develop and optimize solutions using Dataflow, BigQuery, Composer, Cloud SQL, and related GCP services.
Improve data quality, reliability, performance, and analytics efficiency across the enterprise data platform.
Translate requirements from architects, data engineers, and business stakeholders into production-ready solutions.
Support schema versioning, database migrations, CI/CD automation, proof-of-concept initiatives, and platform optimization.
Contribute to modern data architectures such as data mesh and lakehouse.
Requirements
5+ years of commercial experience as a Java Software Engineer with a strong focus on data engineering.
At least 2 years of practical experience with Google Cloud Platform, including Dataflow, BigQuery, Composer, and Cloud SQL.
Strong SQL skills and experience with databases, data integrations, ETL or ELT pipelines, and connectivity patterns.
Practical knowledge of Liquibase or Flyway and experience with CI/CD tools, preferably GitLab CI.
Python scripting skills and knowledge of modern data architectures are advantageous.
Upper-intermediate or higher English level, with effective communication in international teams.
Culture & Benefits
Remote work arrangement.
Collaboration with data engineers, architects, and business stakeholders.
Work on enterprise-scale solutions for a large healthcare provider serving hospitals worldwide.
Opportunities to participate in proof-of-concept initiatives and adopt modern data architectures.
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