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AppZen

AI-powered SaaS for financial process automation

Senior Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timePune, Maharashtra, IndiaNo salary listedIn-person

About the Job

Requirements

  • 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.
  • Extensive experience with cloud platforms, particularly AWS, and working knowledge of services like EMR, Redshift, and S3.
  • Solid understanding of data warehousing concepts and experience with relational databases like PostgreSQL.
  • Familiarity with data visualization and reporting tools such as Superset, Domo, or Tableau.
  • Experience with building and maintaining data pipelines using tools like Airflow.
  • Knowledge of Python web frameworks like Flask or Django for building data-driven applications.
  • Strong problem-solving and analytical skills, with a keen attention to detail.
  • Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
  • Proven ability to work in a fast-paced environment, prioritize tasks, and meet deadlines.

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

About the Company

AppZen

AI-powered SaaS for financial process automation

AppZen uses artificial intelligence to automate financial workflows for businesses through a SaaS platform. It provides three core capabilities: Accounts Payable (AP) automation that entries invoices and maps them to the correct general ledger codes and purchase orders; Travel and Expense (T&E) management that analyzes receipts to flag non-compliant or suspicious purchases and speeds up reimbursements; and card monitoring that watches card activity in real time, categorizes expenses, and detects fraudulent behavior. The product integrates with existing systems with minimal IT effort and claims to show a return on investment within days of implementation. Compared with typical finance tools, AppZen focuses on end-to-end AI-driven automation across AP, T&E, and card expenses to cut manual work and improve compliance. Its goal is to help businesses run their financial processes more efficiently, stay compliant, and reduce fraud through rapid deployment and ongoing AI-driven insights.

Company size
201-500
Company stage
Growth Equity (Non-Venture Capital)
Total funding
$281M
Headquarters
San Jose, CA
Founded
2012

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