22 часа назад
AWS Data Engineer (AWS Glue)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AWS Data Engineer (AWS Glue): Building and optimizing scalable ingestion pipelines for a modern Lakehouse platform with an accent on PySpark and AWS Glue. Focus on migrating legacy source systems, implementing CDC strategies, and ensuring high-performance data delivery.
Location: Abu Dhabi, UAE
Salary: Negotiable GBP / Year
Company
is an employment agency recruiting for a large-scale cloud data transformation programme.
What you will do
- Develop and maintain AWS Glue jobs for data ingestion into Lakehouse Bronze layers.
- Implement loading strategies including CDC, full loads, delta loads, and snapshots.
- Build robust, scalable, and reusable ETL pipelines using PySpark.
- Optimize Glue jobs through effective partitioning, parallelization, and resource allocation.
- Automate deployments via CI/CD pipelines using Git and Terraform.
- Ensure compliance with data governance standards and produce technical documentation.
Requirements
- 5+ years of experience in Data Engineering.
- Strong hands-on experience with AWS Glue and PySpark.
- Proven track record building ETL and data ingestion pipelines.
- Experience with Lakehouse architectures and Medallion design principles.
- Proficiency with AWS S3, Athena, and Lambda.
- Knowledge of Git, Terraform, and CI/CD practices.
Nice to have
- Exposure to data quality frameworks.
- Experience in financial services or highly regulated environments.
- Experience working in Agile environments using Jira.
Culture & Benefits
- Opportunity to work on a major enterprise data transformation programme.
- Exposure to modern AWS and Lakehouse technologies.
- High-impact role with significant ownership and technical responsibility.
- Collaborative environment focused on innovation and continuous improvement.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →