Senior AWS Data Engineer Data Platform Engineer
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Job Summary
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
About Company
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