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Senior Data Engineer (ADB + Python)
Отличная вакансия в стабильной глобальной компании с возможностью работы над проектами для Fortune 500. Привлекательный стек технологий (AI, RAG, Databricks) и гибкие условия работы (удаленка/гибрид).
Сложность вакансии
Роль требует глубоких знаний Apache Spark и экосистемы Azure, а также опыта работы с Big Data форматами (Delta Tables, Parquet). Высокая планка ответственности за стандарты кода и взаимодействие с клиентом из Big Four повышает сложность.
Анализ зарплаты
Зарплата в вакансии не указана, но для позиции Senior Data Engineer в регионе СНГ и Восточной Европы рыночный диапазон составляет от $4,500 до $7,000 в зависимости от конкретной страны и формы контракта. Предложение Exadel обычно соответствует рыночным ожиданиям для опытных специалистов.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Data Engineer position at Exadel. With over 5 years of experience in software development and a deep specialization in Apache Spark and Databricks, I am confident in my ability to contribute to your project for the Big Four client. My expertise in Python, particularly with Pandas and Delta Tables, aligns perfectly with your requirements for building robust and scalable data applications.
Throughout my career, I have focused on optimizing data processing workflows and implementing microservices architectures. I am particularly excited about the opportunity to work within your advanced tech stack, including Azure Cloud and RAG pipelines. My pragmatic approach to problem-solving and experience in enforcing coding standards will allow me to maintain the high quality of code your team expects while delivering efficient data solutions.
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Описание вакансии
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.
The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.
Project Tech Stack
Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs
What You’ll Do
- 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 Spark 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
What You Bring
- 5+ years of hands-on experience in software development
- Extensive experience working with Apache Spark, including platforms such as Databricks and/or Azure Synapse/Fabric
- Proficient in Python, with strong skills in data manipulation using Pandas/Polars and similar
- Solid understanding of columnar data storage formats, particularly Parquet, with practical experience using 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
- Excellent organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines
- Solid understanding of microservices architecture and its implementation in scalable systems
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 FastAPI
- Expertise in containerization and orchestration tools such as Docker and Kubernetes
English level
Intermediate+
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
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Навыки
- Python
- Pandas
- Kubernetes
- Microservices
- Docker
- Delta Lake
- Apache Spark
- Databricks
- Polars
- FastAPI
- Azure Synapse Analytics
- Azure SQL
- Parquet
- Azure Fabric
Возможные вопросы на собеседовании
Проверка глубокого понимания оптимизации Spark-приложений.
Расскажите о вашем опыте оптимизации производительности Spark-заданий. Какие стратегии вы используете для борьбы с перекосом данных (data skew)?
Оценка практического опыта работы с современными форматами хранения.
В чем основные преимущества использования Delta Tables по сравнению с обычным Parquet в контексте Azure Databricks?
Проверка навыков проектирования архитектуры.
Как бы вы спроектировали масштабируемый ETL-процесс в Azure, учитывая использование Microservices и Azure SQL?
Оценка лидерских качеств и подхода к качеству кода.
Как вы подходите к проведению код-ревью и внедрению стандартов разработки в распределенной команде?
Проверка опыта работы с облачной инфраструктурой.
Опишите ваш опыт интеграции Spark с другими сервисами Azure, такими как Service Bus или Data Lake Storage.
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