Exadel is hiring a Senior Data Engineer for a client engagement with a Big Four accounting firm. This hybrid role will design, develop, and deploy enterprise data solutions to support tax services, combining tax and software engineering expertise to deliver analytics-driven outcomes. Key responsibilities include defining coding standards, performing code reviews, collaborating with cross-functional teams, and communicating with the client. The project stack includes Azure Cloud, microservices architecture, .NET 8, ASP.NET Core, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, and multi-modal LLMs. You will design, implement, and maintain robust Spark applications, write clean PySpark code on Databricks (Delta tables, cluster management, workflow automation), and optimize performance for production workloads. You will work closely with stakeholders to ensure reliable, scalable data processing and provide comprehensive documentation. Requirements include hands-on software development experience, PySpark in Databricks, Delta Tables, Parquet, and familiarity with Spark SQL, Pandas/Polars, microservices architecture, and data transformation workflows. Nice-to-haves include Azure cloud services, FastAPI, Docker/Kubernetes, and strong English proficiency.

Exadel is hiring a Senior Data Engineer for a client engagement with a Big Four accounting firm. This hybrid role will design, develop, and deploy enterprise data solutions to support tax services, combining tax and software engineering expertise to deliver analytics-driven outcomes. Key responsibilities include defining coding standards, performing code reviews, collaborating with cross-functional teams, and communicating with the client. The project stack includes Azure Cloud, microservices architecture, .NET 8, ASP.NET Core, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, and multi-modal LLMs. You will design, implement, and maintain robust Spark applications, write clean PySpark code on Databricks (Delta tables, cluster management, workflow automation), and optimize performance for production workloads. You will work closely with stakeholders to ensure reliable, scalable data processing and provide comprehensive documentation. Requirements include hands-on software development experience, PySpark in Databricks, Delta Tables, Parquet, and familiarity with Spark SQL, Pandas/Polars, microservices architecture, and data transformation workflows. Nice-to-haves include Azure cloud services, FastAPI, Docker/Kubernetes, and strong English proficiency.