Real-Time Tax Compliance Data Pipeline Development

As a burgeoning startup in the Tax & Revenue industry, we aim to disrupt traditional tax filing processes through innovation. We seek an experienced data engineer to build a real-time data pipeline that will empower small to medium-sized enterprises (SMEs) with timely tax compliance insights. The pipeline will leverage tools like Apache Kafka for event streaming, Apache Spark for real-time data processing, and Snowflake for centralized data warehousing. Our goal is to offer our clients a seamless experience, drastically reducing the time and errors associated with tax preparations. The project will involve creating a robust architecture for data ingestion, processing, and visualization. We intend to use Airflow for orchestrating complex data workflows and dbt for transforming data into actionable insights. Additionally, integrating MLOps practices will ensure our data models are continuously monitored and enhanced for accuracy. With real-time analytics, our solution will provide proactive alerts and recommendations, ensuring SMEs remain compliant with evolving tax regulations. This project has a high urgency level due to impending regulatory changes and competitive pressures. The successful candidate will need to complete the project within a 4-6 week timeframe, aligning with our go-to-market strategy.