data engineer for scalable data platforms

Exadel is an AI-first global technology company with over 25 years of engineering leadership, more than 2,000 team members, and over 500 active projects for Fortune 500 clients. It partners with enterprise leaders on AI platforms and digital transformation initiatives.

• Define and enforce best practices and coding standards across the project;
• Conduct thorough code reviews to maintain high code quality;
• Work independently and collaboratively with the team;
• Communicate clear instructions to team members and help manage day-to-day operations;
• Communicate regularly with the client;
• Design, develop, and maintain robust and scalable Spark applications;
• Write clean, maintainable, and efficient code;
• Optimize code for performance and scalability;
• Collaborate with cross-functional teams to deliver high-quality software solutions;
• Identify and resolve technical issues;
• Create and maintain comprehensive documentation for code, processes, and workflows.

• Solid proven hands-on experience in software development;
• Practical experience developing SQL stored procedures and migrating them into Spark SQL or PySpark environments;
• Extensive experience using PySpark on Databricks, including Delta tables, cluster management, and workflow automation;
• Proven experience optimizing Spark performance in production-level projects;
• Strong Python proficiency for complex data manipulation with libraries such as 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 attention to detail;
• Pragmatic approach to balancing standardized processes with flexibility;
• Solid understanding of microservices architecture and its implementation in scalable systems;
• Intermediate+ English;
• Nice to have: experience with Azure Cloud services or other major cloud platforms, Service Bus, Data Lake, Blob Storage, Redis, FastAPI, Docker, Kubernetes.

• Medical healthcare;
• Recognition program;
• Ongoing learning and reimbursement;
• Well-being program;
• Team events and local benefits;
• Sports compensation;
• Referral bonuses;
• Top-tier equipment provision;
• International projects;
• In-office, hybrid, or remote flexibility.