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Senior AWS Data Engineer / Data Platform Engineer

30+ days ago 2026/07/18
Other Business Support Services
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Job description

Job Title: Senior AWS Data Engineer / Data Platform Engineer

Experience: 8+ Years
Location: Dubai, UAE (Onsite)
Employment Type: Full-Time


Position Overview

We are seeking a highly experienced Senior AWS Data Engineer to design, build, and optimize large-scale data platforms on AWS. The ideal candidate will have deep hands-on experience with AWS data services, batch and streaming data processing, and orchestration frameworks, playing a key role in architecting and maintaining enterprise-grade data solutions.


Key Responsibilities
  • Design, develop, and optimize scalable data pipelines using AWS native services
  • Lead the implementation of batch and near-real-time data processing solutions
  • Architect and manage data ingestion, transformation, and storage layers
  • Build and maintain ETL/ELT workflows using AWS Glue and Apache Spark on EMR
  • Orchestrate complex data workflows using Apache Airflow (MWAA)
  • Develop and manage serverless data processing using AWS Lambda
  • Design and optimize data warehouses using Amazon Redshift
  • Implement and manage NoSQL data models using Amazon DynamoDB
  • Utilize AWS DataZone for data governance, cataloging, and access management
  • Monitor, log, and troubleshoot data pipelines using Amazon CloudWatch
  • Ensure data security, quality, performance, and cost optimization
  • Collaborate with architects, analytics teams, and business stakeholders
  • Provide technical guidance and mentorship to junior team members
Required Skills & Experience
  • 8+ years of experience in data engineering and data platform development
  • Strong hands-on experience with:
    • AWS Glue
    • Amazon EMR (Spark)
    • AWS Lambda
    • Apache Airflow (MWAA)
    • Amazon EC2
    • Amazon CloudWatch
    • Amazon Redshift
    • Amazon DynamoDB
    • AWS DataZone
  • Strong experience with batch data processing architectures
  • Proficiency in SQL, Python, and Spark
  • Experience working with large-scale datasets and distributed systems
  • Strong understanding of data modeling, data warehousing, and ETL patterns
  • Experience with CI/CD pipelines and Infrastructure as Code is a plus
Nice to Have
  • AWS Certification (Data Analytics / Solutions Architect)
  • Experience with data governance and metadata management
  • Exposure to data lake and lakehouse architectures

This job post has been translated by AI and may contain minor differences or errors.
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