
Senior Data Architect
2 days ago
Immerse yourself in a long-term data engineering project with a key global client.
This is an opportunity to work on modern data platforms, cloud technologies, and advanced analytics solutions in a collaborative environment.
About the RoleWe are looking for skilled data engineers to design, build, and optimize data pipelines and integration solutions using tools such as Trino, Matillion, and dbt.
You will be responsible for developing and maintaining cloud-based data platforms, primarily AWS, Databricks, Redshift, applying best practices in performance tuning, security, and monitoring.
- Data Engineering:
- Design and develop scalable and efficient data pipelines and integration solutions
- Develop and maintain cloud-based data platforms, including AWS, Databricks, Redshift
- Apply best practices in performance tuning, security, and monitoring
- Strong foundation in SQL and data modeling concepts
- Hands-on experience in data engineering, ETL/ELT processes, and pipeline development
- Familiarity with version control (Git) and CI/CD practices
- Experience working with cloud environments (AWS preferred)
- Understanding of Agile methodologies and modern DevOps practices
- Long-term contract with a key global client
- Opportunity to work on cutting-edge cloud & data engineering platforms
- Collaborative, Agile working environment
Please find below the technical skills required for this role:
- Database Management Systems:
- AWS Redshift
- Databricks
- Azure Synapse Analytics
- Data Integration Tools:
- dbt
- Matillion
- Trino
- Programming Languages:
- Python
- R
- Java
To ensure you succeed in this role, please have hands-on experience with at least one of the above mentioned tools.
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