Back to SearchSenior Software Engineer (Data Engineering)
Office in China: Guangzhou, & 3 others
Data Software Engineering& 4 others
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Join EPAM as a Senior 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