Senior Data Integration Engineer (Databricks)

We are looking for a Senior Data Integration Engineer to join the dynamic Data Practice team and collaborate on EPAM strategic projects.
As a Senior Data Integration Engineer, your key role will be to build data systems and applications that drive decision-making. You will primarily focus on developing and maintaining data pipelines and data-driven solutions in public clouds like AWS or Azure, as well as migrating data from the on-premises data centers to the cloud. Additionally, you will build components for enterprise data platforms.
Responsibilities
Play a key role in driving forward EPAM strategic data projects
Design, build, and manage enterprise data solutions in Public Cloud (AWS, Azure)
Develop components for the enterprise data platform to ensure data accuracy and availability
Collaborate with data scientists, data architects, and others ensure data needs are met
Implement secure and auditable data processes to ensure data integrity
Troubleshoot any data-related issues and strive to improve the quality of data systems
Requirements
Proven experience as a Data Engineer or similar role for at least 3 years
Proficiency in SQL and Phyton
Proven experience with Public Cloud (AWS, Azure), DBMS and ETL/ELT tools
Hands-on experience with Databricks
Experience in data acquisition (API calls/FTP downloads), ETL, transformation/normalization (from raw to DB table schema structure), storage (Raw files, Database server), distribution & access (Entitlements for users, build of API’s and access points for data)
Experience building components for enterprise data platform (Data Warehouses, Operational Data Stores, Access layers with APIs, file extracts, user queries)
A bachelor's degree in computer science, IT, or a related field
Strong communication skills