
Data Engineering Expert
21 hours ago
About Rillion
Rillion is a global company with 30 years' experience in the AP Automation industry. We help finance professionals transform how they manage invoices by digitalizing and automating the entire process.
We remove the manual steps of invoice handling, enabling finance teams to save time and effort while reducing the possibility of human error. Our team understands what customers need, so we provide everything they require without any unnecessary additions.
We're on a journey to expand our home markets and enter new territories, all under the guidance of our owners at Altor. To achieve this goal, we seek talented individuals who can contribute to our mission.
At Rillion, we value diversity and do not discriminate based on race, color, religion, age, or any other protected basis.
About the Role
The Senior Data Engineer will play a pivotal role in developing and maintaining data infrastructure that drives AI-powered AP automation. The position involves 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 are essential responsibilities.
The candidate must improve and maintain a Databricks-based data lakehouse, creating efficient data models tailored for AI and analytics needs. Establishing monitoring systems and data governance practices is crucial for performance and compliance.
The successful applicant will collaborate with software engineers to integrate AP automation data. They'll decide between batch or streaming integration methods based on the best fit for each use case.
As part of the role, you'll mentor junior engineers and foster a culture of continuous learning. You'll work closely with the team to deliver end-to-end solutions that leverage data and AI to drive innovation in AP automation.
What You'll Bring
- A minimum of 5 years of experience in the data engineering field.
- Proficiency in SQL and Python programming languages.
- Cloud experience, preferably with Azure.
- Experience with orchestration tools such as Apache Airflow or Azure Data Factory.
- Knowledge of data warehousing solutions, preferably Databricks.
- Understanding of event-driven architecture and role-based data access.
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