Senior Data Engineer: Oracle & AWS Redshift - Onsite Dubai

Kamayi; United Arab Emirates; On-site; AED 112,000 - 145,000; Full time

Benefits offered by this job

Onsite in Dubai

Career growth opportunities

AWS certification support

Job summary

Kamayi is seeking a Senior Software Engineer - Data Engineering in Dubai, UAE, onsite. You will design, develop, and maintain scalable data engineering solutions using AWS data services, Oracle SQL/PL-SQL, and Redshift to support data warehousing and analytics.

The role emphasizes ETL/ELT pipelines, Python, PySpark, and BI platform integration. Ideal candidates have 5-8+ years of experience, strong SQL skills, and hands-on experience with AWS tools like S3, Glue, and EMR.

Qualifications

• 5-8+ years of professional experience in software or data engineering.
• Strong hands-on Oracle SQL and PL/SQL experience.
• Deep experience with Amazon Redshift and AWS data services.
• Proficient in Python and PySpark for data processing.
• Experience with BI tools and data warehousing concepts.

Responsibilities

• Design, develop, and maintain scalable data engineering solutions.
• Build and optimize data pipelines using AWS data services.
• Work with Amazon Redshift for data warehousing and analytics.
• Develop data models and ETL/ELT pipelines.
• Collaborate with BI teams and data analysts to support reporting.
• Maintain code with Git and participate in Agile processes.
• Provide production support and resolve data pipeline issues.

Skills

Oracle SQL/PL-SQL

Amazon Redshift

AWS data services

Python

PySpark

Data warehousing

ETL/ELT

Power BI

MicroStrategy

Tableau

Git

Agile

Tools

AWS S3

AWS Glue

Amazon EMR

Job description

Kamayi is seeking a Senior Software Engineer - Data Engineering in Dubai, UAE, onsite. You will design, develop, and maintain scalable data engineering solutions using AWS data services, Oracle SQL/PL-SQL, and Redshift to support data warehousing and analytics.

The role emphasizes ETL/ELT pipelines, Python, PySpark, and BI platform integration. Ideal candidates have 5-8+ years of experience, strong SQL skills, and hands-on experience with AWS tools like S3, Glue, and EMR.