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)
-
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
M3Ply1KHOz