2 дня назад
Senior Python Software Engineer (Data)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Python Software Engineer (Data) (Python/GCP): Building scalable batch and streaming data pipelines for an enterprise healthcare data platform with an accent on Dataflow, BigQuery, SQL modeling, and data quality. Focus on optimizing cloud-native data processing, managing schema migrations, contributing to CI/CD automation, and adopting data mesh or lakehouse architectures.
Location: Bulgaria or Ukraine; remote/office work
Company
delivers engineering and technology solutions, including enterprise data platforms.
What you will do
- Design, build, and maintain scalable batch and streaming data processing pipelines on Google Cloud Platform.
- Develop and optimize pipelines using Dataflow and related GCP services for enterprise analytics.
- Own data engineering components that improve data quality, reliability, and platform performance.
- Work with SQL-based data models and integrations across BigQuery, Cloud SQL, and other data sources.
- Collaborate with data engineers, architects, and business stakeholders to deliver production-ready solutions.
- Contribute to proof-of-concept initiatives, platform optimization, data architecture modernization, and CI/CD automation.
Requirements
- 3+ years of commercial experience as a Python Software Engineer focused on data engineering.
- 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.
- Knowledge of schema migration tools such as Liquibase or Flyway and CI/CD tools, preferably GitLab CI.
- Readiness to learn Java for Java-related tasks comprising approximately 10% of the role.
- Upper-intermediate or higher English level and the ability to collaborate effectively in international teams.
Culture & Benefits
- Work on an enterprise-scale data platform for a large US-based healthcare provider serving hospitals worldwide.
- Choose a remote or office work format in Bulgaria or Ukraine.
- Participate in modern data architecture initiatives, including data mesh and lakehouse adoption.
- Work with data engineers, architects, and business stakeholders in international teams.
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