Data Engineer

AppZen is the leader in autonomous spend-to-pay software. Its patented artificial intelligence accurately and efficiently processes information from thousands of data sources so that organizations can better understand enterprise spend at scale to make smarter business decisions. It seamlessly integrates with existing accounts payable, expense, and card workflows to read, understand, and make real-time decisions based on your unique spend profile, leading to faster processing times and fewer instances of fraud or wasteful spend. Global enterprises, including one-third of the Fortune 500, use AppZen’s invoice, expense, and card transaction solutions to replace manual finance processes and accelerate the speed and agility of their businesses. To learn more, visit us at www.appzen.com.

About the role :

We are seeking a skilled and experienced Data Engineer to join our team. As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our data infrastructure and pipelines. You will collaborate with cross-functional teams to gather requirements, build scalable solutions, and ensure the availability and reliability of our data systems.

Responsibilities:

●Design, develop, and implement scalable and efficient data pipelines in the cloud using Python, SQL, and relevant technologies.

● Build and maintain data infrastructure on platforms such as AWS, leveraging services like EMR, Redshift, and others.

● Collaborate with data scientists, analysts, and other stakeholders to understand their requirements and provide the necessary data solutions.

● Develop and optimize ETL (Extract, Transform, Load) processes to ensure the accuracy, completeness, and timeliness of data.

● Create and maintain data models, schemas, and database structures using PostgreSQL and other relevant database technologies.

● Experience reporting tools such as Superset, (good to have : Domo, or Tableau, Quicksight) to develop visually appealing and insightful data visualizations and dashboards.

 ● Monitor and optimize the performance and scalability of data systems, ensuring high availability and reliability.

● Implement and maintain data security and privacy measures to protect sensitive information.

● Collaborate with the engineering team to integrate data solutions into existing applications or build new applications as required.

● Stay up-to-date with industry trends, emerging technologies, and best practices in data engineering

Qualifications :

● Bachelor's or master's degree in Computer Science, Engineering, or a related field.

● Strong proficiency in Python and SQL for data manipulation, analysis, and scripting.