Senior AWS Data Engineer Data Platform Engineer

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

Required Experience:

Manager

Key Skills
Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala
Department / Functional Area: Data Engineering
Experience: years
Vacancy: 1