Инженер данных

Exadel is an AI-first global tech company with over 25 years of engineering leadership, 2,000 team members, and 500 active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. The client is one of the Big Four accounting firms and the world’s largest professional services network, headquartered in London and operating in 150+ countries with 460,000+ professionals delivering audit, tax, consulting, and advisory services.

• 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;
• Work both independently and in close collaboration with others in the team;
• Communicate clear instructions to team members and help manage the flow of day-to-day operations;
• Communicate 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.

• Solid hands-on experience in software development;
• Practical experience developing SQL stored procedures and migrating them into Spark SQL or PySpark environments;
• Extensive expertise using PySpark on Databricks, encompassing Delta tables, cluster management, and workflow automation;
• Proven track record of optimizing Spark performance within production-level projects;
• Strong proficiency in Python, specifically for complex data manipulation utilizing libraries like Polars or Pandas;
• 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;
• Solid understanding of microservices architecture and its implementation in scalable systems;
• Intermediate+ English proficiency;
• 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.

• 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.