
Data Infrastructure Engineer
2 days ago
Krav
- Experience in developing and maintaining data infrastructure is required.
Rillion seeks a skilled Senior Data Engineer to join its innovative team. This role involves developing, implementing, and maintaining the company's data infrastructure that drives AI-powered AP automation and providing valuable product insights based on usage data.
About the Role
As a Senior Data Engineer at Rillion, your key responsibilities will include designing and implementing scalable data pipelines within an Azure cloud environment to ingest, process, and store large volumes of usage data, ensuring data quality and integrity.
You will also be responsible for improving and maintaining a Databricks-based data lakehouse, creating efficient data models tailored for AI and analytics needs. Establishing monitoring systems and data governance practices to ensure performance and compliance are also crucial aspects of this role.
In addition, you will collaborate with software engineers to integrate AP automation data, deciding between batch or streaming integration methods based on the use case. Part of your role will involve mentoring junior engineers and fostering a culture of continuous learning.
What You'll Bring:
- 5 years of experience in the data engineering field.
- Proficiency in SQL and Python.
- Cloud experience, preferably with Azure.
- Experience with orchestration tools such as Apache Airflow or Azure Data Factory.
- Experience with data warehousing solutions, preferably Databricks.
- Experience of event-driven architecture and role-based data access.
- Management/lead experience.
- Familiarity with BI tools like Power BI, Tableau, or Qlik.
- Experience with Infrastructure as Code (IaC) tools like Terraform.
- Contributions to open-source projects.
- Strong communication and interpersonal skills.
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