Overview
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 Remote Senior Data Engineer with strong experience in Databricks to join our project.
The ideal candidate will have knowledge of Big Data technologies, primarily Spark.
Responsibilities
- Design and implement efficient data pipelines and ETL processes
- Collaborate with cross-functional teams to develop and implement data-driven solutions
- Optimize data models and queries for performance
- Develop and maintain data documentation and data lineage
- Mentor and provide technical leadership to junior team members
Requirements
- 3+ years of software engineering experience
- Strong experience in Databricks
- Experience with AWS, Python, Big Data
- Hands-on knowledge of Spark
- Good leadership skills
- Upper-Intermediate level of English (B2+)
Nice to have
- Familiarity with Apache Hive
We offer
- International projects with top brands
- Work with global teams of highly skilled, diverse peers
- 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
Seniority level
Employment type
Job function
- Information Technology, Engineering, and Business Development
Industries
- Software Development, IT Services and IT Consulting, and Pharmaceutical Manufacturing
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