Lead Big Data Software Engineer
EPAM Systems
Lead Big Data Software 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.
If you are a seasoned Lead Big Data Software Engineer looking for a challenging and rewarding opportunity, we invite you to apply and become an integral part of our dynamic team. As a Lead Engineer, you will play a crucial role in designing and implementing Big Data solutions for our diverse range of projects. The ideal candidate should have extensive experience in Big Data and related technologies, with a focus on Apache Spark, Java, Scala, and AWS.
#LI-DNI#REF-IN-WOMENResponsibilities
- Design and implement end-to-end Big Data solutions for complex business requirements
- Collaborate with cross-functional teams to understand project requirements and deliver high-quality software solutions
- Utilize your expertise in Apache Spark, Java, Scala, and AWS to develop scalable and efficient data processing systems
- Ensure the performance, security, and scalability of Big Data applications
- Stay current with industry trends and advancements in Big Data technologies, contributing to the continuous improvement of our development processes
Requirements
- 8-12 years of hands-on experience in Big Data and Data-related technologies
- Expert-level knowledge and practical experience with Apache Spark
- Proficient programming skills in Java and/or Scala
- Strong proficiency with Hadoop and Hive
- Experience working with native Cloud data services, specifically AWS
We offer
- Opportunity to work on technical challenges that may impact across geographies
- Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
- Opportunity to share your ideas on international platforms
- Sponsored Tech Talks & Hackathons
- Unlimited access to LinkedIn learning solutions
- Possibility to relocate to any EPAM office for short and long-term projects
- Focused individual development
- Benefit package:
- Health benefits
- Retirement benefits
- Paid time off
- Flexible benefits
- Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)