
Cloud Data Architectural Leader
7 days ago
Unlock Your Data Engineering Potential
Job DescriptionThe role of a Senior Cloud Data Engineer is to design, build, and maintain data infrastructure that supports analytics, reporting, and business intelligence. This involves creating scalable data pipelines using cloud services and managing relational databases to support business needs.
Additionally, the engineer will be responsible for ensuring high-quality data through validation, monitoring, and governance best practices. They will also develop scripts and automation tools to streamline data processes and workflows.
This is an exciting opportunity for someone who wants to make an impact and contribute to the growth of our organization.
Required Skills and Qualifications- Proven experience in data engineering with a strong focus on cloud-based data platforms.
- Strong proficiency in Python for data processing and automation.
- Experience with SQL and database management.
- Hands-on experience with AWS services such as Glue, S3, Lambda, and RDS.
- Understanding of ETL/ELT best practices and experience building data pipelines.
- Experience with data visualization and BI tools.
- Experience with infrastructure-as-code tools for data infrastructure automation.
- Strong focus on data quality, security, and governance.
We offer a fast-paced, data-driven environment where you can grow your skills and expertise. If you are passionate about data engineering and want to make a meaningful contribution, we encourage you to apply.
OthersOur ideal candidate has experience working in Agile environments and is familiar with tools like Jira and Confluence. Knowledge of CI/CD for data workflows and version control using Git is also a plus.
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