Real-Time Financial Data Pipeline Implementation for Enhanced Decision-Making

As a growing startup in the Accounting & Auditing industry, we aim to revolutionize our service offerings by integrating real-time analytics into our financial reporting tools. Our objective is to build a data pipeline that seamlessly ingests, processes, and visualizes financial data from multiple sources. This pipeline will empower our clients to access real-time insights, enhancing their ability to make informed financial decisions swiftly. The ideal data engineer will have experience with event streaming using Apache Kafka and data processing with Spark and Airflow. Furthermore, expertise in deploying solutions via Snowflake or BigQuery, and leveraging Databricks for advanced analytics, is required. The successful candidate will collaborate with our internal team to ensure data observability and adherence to stringent data governance policies. The deliverable is a scalable, efficient, and maintainable data pipeline that seamlessly integrates with our existing infrastructure. By the end of this project, we aim to offer a next-level auditing experience, setting a new standard in real-time financial insights for our clients.