Senior Data Engineer (Python)

About the Client:

You will work with the 6th-largest privately owned organization in the United States. The сustomer is one of the “Big Four” accounting organizations and the largest professional services network in the world in terms of revenue and number of professionals. The company provides audit, tax, consulting, enterprise risk, and financial advisory services to 263,900 professionals globally.

Project Tech Stack

Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, Mongo, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot.

Requirements:

• 5+ years of experience in development;
• Proficient in web development with substantial hands-on experience using the FastAPI framework;
• Deep expertise in data manipulation and analysis using Pandas/Polars and similar;
• Experience with Pydantic for data validation and schema definition in Python applications;
• Skilled in asynchronous and parallel programming, with practical knowledge of asyncio;
• Proficiency working with both structured and semi-structured data, including MongoDB, Parquet, and Delta Tables;
• Proven expertise in data processing, analysis, and transformation workflows;
• Strong analytical and problem-solving abilities with a detail-oriented mindset;
• Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively;
• Organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines.

Will be a plus:

• Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more;
• Familiarity with .NET/Databricks/Spark/PySpark;
• Expertise in containerization and orchestration tools such as Docker and Kubernetes;
• Solid understanding of microservices architecture and its implementation in scalable systems.

Responsibilities:

• Define and enforce best practices and coding standards across the project;
• Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality;
• Working both independently and in close collaboration with others in the team;
• Communicating clear instructions to team members and helping manage the flow of day-to-day operations;
• Communicating with the client regularly;
• Design, develop, and maintain robust and scalable Python applications;
• Write clean, maintainable, and efficient code following best practices and coding standards;
• Optimize code for performance and scalability, ensuring efficient data handling;
• Work closely with cross-functional teams to deliver high-quality software solutions;
• Identify and resolve technical issues, ensuring the reliability and performance of applications;
• Create and maintain comprehensive documentation for code, processes, and workflows;
• Provide guidance and mentorship to junior developers, fostering a collaborative and productive team environment.