Experienced Lead Data Engineer to design, develop, and implement modern cloud-native data platforms that enable analytics, artificial intelligence, and data-driven decision-making.
## Responsibilities
- Help design, build and continuously improve the client's online platform
- Research, suggest and implement new technology solutions following best practices/standards
- Take responsibility for the resiliency and availability of different products
- Design and implement scalable Data Lakes, Data Warehouses, and Lakehouse architectures
- Develop and maintain robust ETL/ELT pipelines for both batch and real-time data processing
- Design and optimize data models while ensuring data quality, governance, and consistency
- Build and support cloud-native data solutions on AWS
- Develop event-driven and serverless architectures to support modern data platforms
- Enable analytics, business intelligence, artificial intelligence, and machine learning initiatives through efficient data solutions
- Provide technical leadership, mentor Data Engineers, and contribute to architecture and design decisions
- Collaborate with architects, engineers, and business stakeholders to solve complex data challenges across diverse industries, including government, financial services, infrastructure, energy, and manufacturing
- Work within Agile teams to deliver innovative and scalable client solutions