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Senior Data Integration Engineer 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.


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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 to 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

  • 3+ years of proven experience as a Data Engineer or in a similar role
  • Proficiency in SQL, and either 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 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

  • Strong hands-on experience with Databricks

We offer

  • Career development opportunities with a transparent career path
  • Wide range of professional trainings, workshops, and mentoring programs plus unlimited access to LinkedIn Learning
  • Learning resources and financial support for completing certification programs
  • Christmas and Vacation bonus
  • Corporate Health Insurance (basic and supplementary)
  • Free yearly medical check-ups
  • 25 days of vacation

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