Experience: 6–8 Years
Location: Remote
Industry: Retail / Data & Analytics
We are seeking highly skilled and innovative Senior Data Engineers (AWS) to join a dynamic team supporting advanced data initiatives. The ideal candidates will have strong hands-on experience in building scalable data pipelines, working with AWS data services, and delivering high-quality data solutions in fast-paced environments.
This role requires individuals who are problem-solvers, adaptable, and capable of working collaboratively within high-performing teams.
Key Responsibilities- Design, develop, and maintain scalable data pipelines using AWS services.
- Build and optimize ETL/ELT processes using AWS Glue and DBT (Data Build Tool).
- Manage and configure data workflows and orchestration within the Orion framework.
- Develop and maintain configuration files and ensure seamless integration across systems.
- Collaborate with data architects, analysts, and business stakeholders to deliver data solutions.
- Optimize data processing performance and ensure data quality and reliability.
- Work on data modeling, transformation, and warehousing solutions.
- Implement best practices for data governance, security, and compliance.
- Troubleshoot and resolve data-related issues across pipelines and infrastructure.
- Contribute to continuous improvement and innovation in data engineering practices.
- Strong experience with AWS ecosystem, including:
- AWS Glue
- Amazon S3
- AWS Lambda
- Amazon Redshift / RDS
- Hands-on expertise in DBT (Data Build Tool) for data transformation.
- Solid understanding of data pipeline architecture and ETL/ELT processes.
- Experience working with Orion framework and handling configuration-driven workflows.
- Good understanding of networking concepts within AWS environments (VPC, subnets, security groups).
- Proficiency in SQL and Python for data processing.
- Experience with version control systems (Git).
- Familiarity with CI/CD pipelines for data workflows.
- Experience in retail or supply chain data environments.
- Exposure to real-time data processing and streaming frameworks.
- Knowledge of data lake and lakehouse architectures.
- AWS certifications (e.g., AWS Certified Data Analytics or Solutions Architect).
- Strong analytical and problem-solving skills
- Innovative mindset with a focus on continuous improvement
- Ability to work in high-performance, collaborative teams
- Excellent communication and stakeholder management skills
- Ownership and accountability for deliverables
Skills Required
- Strong experience with AWS ecosystem
- Hands-on expertise in DBT for data transformation
- Solid understanding of data pipeline architecture and ETL/ELT processes
- Experience working with Orion framework
- Understanding of networking concepts within AWS environments
- Proficiency in SQL and Python
- Experience with version control systems
- Familiarity with CI/CD pipelines for data workflows
What We Do
Datamatics Technologies (DMT) was established in Dubai. We specialize in providing onsite and offshore professional services, covering the full spectrum of Data Analytics and Data Science domains. Our experience of working with diverse industry sectors such as Telecoms, Finance, Government and Manufacturing, across multiple regions enables us to engage and deliver for our clients with confidence. We can offer our full portfolio of services through resource augmentation, managed services, both on T&M or fixed price financial arrangements. Through our end-to-end managed services offering we enable our clients to cut down costs, increase profitability and focus on value addition to their core business activities. Our project and delivery management team are certified in Agile, PMI and ITIL to ensure the planning and execution are carried out using industry best practices. We are working with our clients across Middle East and Africa Region.
