Senior AWS Data Engineer / Data Platform Engineer

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

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.

• 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

• 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)

    Looking to get Placed? Try our Placement Guarantee Plan

    Get Hired
  • 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

• AWS Certification (Data Analytics / Solutions Architect)
• Experience with data governance and metadata management
• Exposure to data lake and lakehouse architectures