Offer summary

Qualifications:

5+ years of experience in development, particularly with Python and web development using FastAPI., Deep expertise in data manipulation and analysis using Pandas/Polars, and experience with Pydantic for data validation., Proficiency in asynchronous programming and working with structured and semi-structured data, including MongoDB., Strong analytical skills, organizational abilities, and a pragmatic approach to project management..

Key responsabilities:

Define and enforce coding standards and best practices across the project.

Conduct code reviews to maintain high code quality and collaborate with team members.

Design, develop, and maintain scalable Python applications while optimizing for performance.

Communicate regularly with clients and provide mentorship to junior developers, ensuring a collaborative team environment.

Job description

We are looking for a motivated Senior Data Engineer (Python) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply!

About Our Customer

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

Nice to have

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

English level

Intermediate+

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