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AWS Data Engineer

Job in Dubai, Dubai, UAE/Dubai
Listing for: NorthBay - Pakistan
Full Time position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    Data Engineer, AWS
Salary/Wage Range or Industry Benchmark: 120000 - 200000 AED Yearly AED 120000.00 200000.00 YEAR
Job Description & How to Apply Below

Position Overview

Job Title:

AWS Data Engineer

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.

Key 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
  • Implement data storage and retrieval using Amazon DynamoDB
  • Use AWS Data Zone for data discovery, governance, and access control
  • Monitor data pipelines and system health using Amazon Cloud Watch
  • Troubleshoot data processing failures and performance issues
  • Collaborate with analytics, reporting, and business teams
  • Follow best practices for security, scalability, and cost optimization
Required Skills & Experience
  • 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 Cloud Watch
    • Amazon Redshift
    • Amazon DynamoDB
    • AWS Data Zone
  • 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
Nice to Have
  • AWS Certification
  • Exposure to data governance and metadata tools
  • Experience with performance tuning and cost optimization on AWS
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