
Senior Cloud Data Engineer
2 days ago
We are seeking an experienced AWS Data Engineer to design, develop, and implement data pipelines using cloud-native architectures.
The ideal candidate will possess a deep understanding of AWS data services and engineering practices, as well as strong expertise in Python, Spark, and ETL data processing. The role requires collaboration with cross-functional teams to foster a culture of continuous learning and innovation.
Key Responsibilities:
- Design, develop, and implement data pipelines and solutions using AWS data services
- Collaborate with cross-functional teams to drive business growth and success
- Develop software architecture and solution design using microservices, distributed systems, and cloud-native architectures
- Stay up-to-date with industry trends and best practices in data engineering
Requirements:
- 10-14 years of experience in software architecture and solution design, including microservices and cloud-native architectures
- Extensive experience in Python and Spark, with a focus on ETL data processing and data engineering practices
- Deep technical knowledge of AWS data services and engineering practices
- Experience delivering Lakehouse solutions/architectures
Preferred Qualifications:
- Knowledge of additional programming languages and development tools to provide flexibility and adaptability across varied data engineering projects
- Master's degree or relevant certifications (e.g., AWS Certified Solutions Architect, Certified Data Analytics)
About the Role:
This is a unique opportunity to work on cutting-edge data engineering projects and contribute to the growth of our organization. If you are passionate about data engineering and possess the required skills and qualifications, we encourage you to apply for this exciting role.
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