Senior Data Integration Engineer Budapest, Hungary or Remote
Senior Data Integration Engineer Description
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
We are looking for a Senior Data Integration Engineer to join our dynamic Data Practice team and collaborate on EPAM’s strategic projects.
#LI-DNI
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 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
- Strong communication skills are essential to collaborate effectively with teams and stakeholders, ensuring seamless project delivery and alignment
- 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
Nice to have
- Good hands-on experience with Databricks
We offer
- Dynamic, entrepreneurial corporate environment
- Diverse multicultural, multi-functional, and multilingual work environment
- Opportunities for personal and career growth in a progressive industry
- Global scope, international projects
- Widespread training and development opportunities
- Unlimited access to LinkedIn learning solutions
- Competitive salary and various benefits
- Advanced wellbeing and CSR programs, recreation area
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