Senior AWS Data Engineer​/Data Platform Engineer

Job Title

Senior AWS Data Engineer / Data Platform Engineer

8+ Years

Dubai, UAE (Onsite)

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 No
  
  SQL data models using Amazon DynamoDB
• Utilize AWS Data Zone for data governance, cataloging, and access management
• Monitor, log, and troubleshoot data pipelines using Amazon Cloud Watch
• 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), Amazon EC2, Amazon Cloud Watch, Amazon Redshift, Amazon Dynamo
  
  DB, AWS Data Zone
• 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