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

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