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 seeking a Senior Data Engineer to join our Data and Analytics team.
In this role, you will be the key person for providing robust support for our platform. You will tackle technical and operational data challenges, while also enhancing our infrastructure through various long-term projects.
Responsibilities
Design, develop, test, deploy, operate and maintain software and data engineering solutions
Collaborate with cross-functional teams including data scientists, developers and project managers
Ensure that implemented solutions meet project requirements, performance and scalability goals
Learn and implement client internal technologies and tools to support project requirements and goals
Elaborate technical documentation including analysis, design and implementation
Participate in code reviews, design reviews and other team activities
Engage in system improvement, platform migration, upgrades and stabilization projects including requirements documentation and issue resolution
Requirements
3+ years of experience in Data Engineering
Understanding of data architecture concepts for use cases
Experience with ETL/ELT processes
Solid background in software development lifecycle
Strong proficiency in SQL with ability to build and optimize large-scale data pipelines on Big Data infrastructure
Extensive skills in data analysis and validation
Proficiency in programming languages such as Python and Java
Experience with Linux terminal operations
English level of B1 or above
Nice to have
Experience in data modeling
Knowledge of DevOps practices and concepts
We offer
International projects with top brands
Work with global teams of highly skilled, diverse peers
Healthcare benefits
Employee financial programs
Paid time off and sick leave
Upskilling, reskilling and certification courses
Unlimited access to the LinkedIn Learning library and 22,000+ courses
Global career opportunities
Volunteer and community involvement opportunities
EPAM Employee Groups
Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
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