Senior Data Engineer (PySpark)

EPAM Systems

Remote · HungarySalary not disclosedfull-timeEPAM Systems Careers (remote abroad)

We are looking for a Senior Data Engineer with expertise in AI-enabled data platforms and PySpark. This role involves designing, building and optimizing modern data pipelines and analytics solutions, collaborating with architects, lead engineers and business stakeholders to deliver robust, scalable and AI-integrated data solutions.

Responsibilities

Implement data processing and transformation with Python, PySpark and SparkSQL
Work with OneLake (Delta / OpenLake) for efficient data storage and analytics
Develop and support solutions using Cosmos DB (NoSQL API)
Contribute to Fabric workloads including Data Engineering, Data Factory Gen2 and Lakehouse
Design, develop and maintain scalable data pipelines using Azure Fabric
Implement and maintain CI/CD pipelines and follow DevOps best practices
Integrate data solutions with Power BI for reporting and analytics
Collaborate with AI, data science and product teams to support AI-driven use cases
Ensure data quality, performance, security and reliability
Participate in Agile ceremonies and contribute to sprint delivery

Languages

Work format: Remote
Seniority: Senior
Posted: 29 Sept 2026
Last verified: In the last 5 days

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