Senior Software Engineer (Data Engineering)
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