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AWS Data Engineer
Job summary
A leading cloud technology firm based in Dubai seeks an experienced AWS Data Engineer to build and support cloud-based data pipelines and analytics platforms. The ideal candidate should have 5-8 years of data engineering experience along with strong SQL and Python skills. Responsibilities include developing scalable data pipelines, implementing ETL jobs using AWS services, and ensuring data processing efficiency. This full-time position is onsite in Dubai, offering an opportunity to work on cutting-edge cloud technologies.
Qualifications
- 5-8 years of experience in data engineering or related roles.
- Strong SQL and Python skills.
- Experience with batch data processing and data pipeline development.
- Understanding of data warehousing and ETL concepts.
Responsibilities
- Develop and maintain scalable batch data pipelines on AWS.
- Implement ETL/ELT jobs using AWS Glue and Spark on EMR.
- Build and manage workflow orchestration using Apache Airflow (MWAA).
- Develop serverless data processing functions using AWS Lambda.
- Work with Amazon Redshift for data warehousing and analytics.
Skills
Experience: 5–8 Years
Location: Dubai, UAE (Onsite)
Employment Type: Full-Time
We are looking for a skilled AWS Data Engineer to build and support cloud-based data pipelines and analytics platforms on AWS. The role focuses on hands‑on development, optimization, and operational support of data processing systems.
- Develop and maintain scalable batch data pipelines on AWS
- Implement ETL/ELT jobs using AWS Glue and Spark on EMR
- Build and manage workflow orchestration using Apache Airflow (MWAA)
- Develop serverless data processing functions using AWS Lambda
- Work with Amazon Redshift for data warehousing and analytics
- Implement data storage and retrieval using Amazon DynamoDB
- Use AWS DataZone for data discovery, governance, and access control
- Monitor data pipelines and system health using Amazon CloudWatch
- Troubleshoot data processing failures and performance issues
- Collaborate with analytics, reporting, and business teams
- Follow best practices for security, scalability, and cost optimization
- 5–8 years of experience in data engineering or related roles
- Hands‑on experience with:
- AWS Glue
- Amazon EMR
- AWS Lambda
- Apache Airflow (MWAA)
- Amazon EC2
- Amazon CloudWatch
- Amazon Redshift
- Amazon DynamoDB
- AWS DataZone
- Strong SQL and Python skills
- Experience with batch data processing and data pipeline development
- Understanding of data warehousing and ETL concepts
- Experience working in Agile delivery environments
- AWS Certification
- Exposure to data governance and metadata tools
- Experience with performance tuning and cost optimization on AWS
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.