2 дня назад
Data Engineer (Multi-Cloud & Data Integration)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer (Multi-Cloud & Data Integration) (Python/SQL): Designing and maintaining scalable ETL/ELT pipelines and data integrations across AWS, GCP, and Oracle Cloud with an accent on data quality, warehouse modeling, and BigQuery optimization. Focus on orchestrating workflows with Apache Airflow, improving pipeline performance and cost efficiency, and ensuring reliable data delivery for analytics and business operations.
Company
is a technology company delivering software engineering and data solutions.
What you will do
- Design, develop, and maintain scalable ETL/ELT pipelines across AWS, Google Cloud Platform, and Oracle Cloud.
- Build data integration solutions for analytics, reporting, and operational use cases.
- Implement data quality frameworks covering validation, reconciliation, monitoring, and error handling.
- Optimize BigQuery queries, storage utilization, compute resources, and pipeline performance.
- Create and maintain Apache Airflow workflows, technical documentation, and deployment automation.
- Monitor and troubleshoot data workflows while collaborating with analysts, architects, and business stakeholders.
Requirements
- Strong proficiency in Python and SQL.
- Hands-on experience designing and maintaining ETL/ELT pipelines.
- Experience with AWS, GCP, and/or Oracle Cloud Infrastructure.
- Knowledge of data warehousing, including star schemas, dimensional modeling, and OLTP versus OLAP architectures.
- Experience optimizing and tuning Google BigQuery performance.
- Experience with Apache Airflow, Git, CI/CD pipelines, DevOps methodologies, data validation, and reconciliation.
Nice to have
- Experience in multi-cloud or hybrid cloud environments.
- Knowledge of data governance, data security, and compliance practices.
- Familiarity with infrastructure as code and cloud-native data services.
- Experience supporting analytics, business intelligence, and reporting platforms.
Culture & Benefits
- Cross-functional collaboration with data analysts, architects, and business stakeholders.
- Work focused on reliable, high-availability data delivery and operational integrity.
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