Big Data Engineer

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.

DESCRIPTION

We are looking for a Big Data Engineer to join our team in Serbia.

RESPONSIBILITIES

• Create and manage cloud resources in AWS
• Implement and migrate new and existing ETL pipelines from the old infrastructure to the new one
• Write automated data quality check to make sure right data enters the platform and verifying the results of the calculations
• Participate on regular Scrum ceremonies with the customer

REQUIREMENTS

• Proficiency with Java / Python / Scala and SQL
• Experience in AWS - including Amazon EMR, S3, EC2, Cloudformation
• Experience in Big Data technologies - including Hadoop Core, Apache HBase, Oozie, MapReduce, Crunch, SolR
• Willingness to cooperate across teams

NICE TO HAVE

• Vertica

WE OFFER

We believe that the greatest strength of the company is its people. EPAM is fully committed to help its employees to reach their full potential and achieve their professional goals through continues learning. With this in mind, we would like to introduce to you few of the many opportunities and services which we believe will help you expand your current knowledge

• Full access to cutting-edge tools and technologies
• Competitive compensation depending on experience and skills
• Wide range of professional trainings and workshops, English courses, soft-skill trainings
• Vast opportunities for self-development, unlimited access to LinkedIn Learning, GAL trainings
• Certification opportunities in the Data and Analytics domain
• Permanent job with remote work opportunity
• Multilingual work environment
• International projects, working in hybrid teams with high-skilled peers
• Work-life balance and flexible schedule, team buildings and sport opportunities
• Relocation opportunities.