Senior Software Engineer (Data Engineering)

Join EPAM as aSenior Data Software Engineer to design and implement innovative analytical solutions using cloud-native, big data and NoSQL technologies. In this role, you will build robust data ingestion pipelines, model complex data architectures and guide cross-functional teams through critical technical decisions. Your expertise will drive complex architectural decisions, mentor high-performance engineering teams and deliver scalable data platforms that solve critical business challenges.

Responsibilities

• Lead the design and implementation of innovative analytical solutions using Cloud Native, Big Data and NoSQL technologies
• Architect scalable hybrid, on-premise and cloud solutions using best-in-class data frameworks
• Collaborate with product teams to evaluate new features, drive architectural decisions and solve complex business problems
• Build strong strategic partnerships with cross-functional architects and key business stakeholders
• Actively participate in code reviews and test solutions to ensure strict adherence to engineering best practices
• Foster a high-performance engineering culture by mentoring team members and providing essential tooling and motivation
• Write comprehensive project documentation to support long-term system stability and adoption
• Perform practical performance tuning, infrastructure troubleshooting and continuous optimization of data environments

Requirements

• Extensive programming experience in Python, Java or Scala combined with strong SQL and relational database skills
• Hands-on expertise with big data frameworks (Spark, Kafka, Airflow) and NoSQL databases (CosmosDB, DynamoDB, Cassandra, MongoDB)
• Experience designing and administering scalable data platforms across major cloud providers like AWS, Azure, Databricks or AliCloud
• Deep understanding of distributed computing, data ingestion pipelines (ETL) and modern data warehousing architectures
• Proficiency in containerization and orchestration using Docker and Kubernetes within CI/CD environments
• Knowledge of data compliance standards (GDPR, HIPAA) and security best practices for data management
• High proficiency in business English with exceptional communication skills for direct client engagement
• Analytical problem-solving skills with the ability to manage multiple priorities and optimize system performance

Nice to have

• Experience with machine learning services such as SageMaker or TensorFlow
• Familiarity with data visualization tools including Tableau or Power BI
• Background in enterprise search platforms like Elasticsearch and the ELK stack