We are looking for a Senior Data Integration Engineer to join our dynamic Data Practice team and collaborate on EPAM’s strategic projects.
Responsibilities
- Play a key role in driving forward EPAM's strategic data projects
- Design, build, and manage enterprise data solutions on Public Cloud platforms (AWS, Azure)
- Develop components for the enterprise data platform to ensure data accuracy and availability
- Collaborate with data scientists, data architects, and others to ensure data needs are met
- Implement secure and auditable data processes to maintain data integrity
- Troubleshoot data-related issues and work to improve the quality of data systems
Requirements
- Proven experience as a Data Engineer or in a similar role for at least 3 years
- Proficiency in SQL and Python or Java
- Demonstrated experience with Public Cloud platforms such as AWS or Azure, along with expertise in DBMS and ETL/ELT tools
- Experience in data acquisition through methods like API calls and FTP downloads, as well as expertise in ETL processes and data transformation/normalization from raw to structured schemas
- Experience in building components for enterprise data platforms like Data Warehouses, Operational Data Stores, and Access layers with APIs and file extracts
- Strong communication skills to collaborate effectively with teams and stakeholders, ensuring seamless project delivery and alignment
- Fluency in English (both written and spoken) at a minimum B2 level
Nice to have
- Good hands-on experience with Databricks