Senior Big Data Engineer Armenia or Remote
Senior Big Data Engineer Description
Job #: 74319
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 an experienced Big Data Engineer to join the Commercial Data Platform development team of one of the largest pharmaceutical companies. In this role, you will work with highly experienced colleagues on a variety of projects which use modern big data technologies like CDH, EMR, Airflow, Streamsets, Databricks.
#LI-DNI
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DESCRIPTION
We are looking for an experienced Big Data Engineer to join the Commercial Data Platform development team of one of the largest pharmaceutical companies. In this role, you will work with highly experienced colleagues on a variety of projects which use modern big data technologies like CDH, EMR, Airflow, Streamsets, Databricks.
#LI-DNI
#LI-DNP
#cloudtill30Apr
What You’ll Do
- Develop data ingestion and ETL/ELT pipelines
- Work with Solution Architect and BA to shape the technical design and integration approaches
- Deliver results enterprise-level big data platforms
What You Have
- Ability to work independently as well as in a team of professionals that may include not only EPAM colleagues but also client’s engineers and managers, third-party vendors
- Strong skills in Big Data: Spark, Scala, Airflow, SQL, GitLab, Jira/Confluence
- Experience with Streamsets, Python, EMR, AWS, Databricks, Java will be a plus
- Good written and spoken English
Technologies
- Cloudera, Hadoop, Spark, Streamsets, Airflow, EMR, AWS, Databricks, Hive
We offer
- Innovative solutions delivery to the world’s digital changes
- Experience exchange with colleagues all around the world
- Opportunities for self-realization
- Unlimited access to LinkedIn learning solutions
- Friendly team and enjoyable working environment
- Regular assessments and salary reviews
- Social package: professional & soft skills trainings, medical & family care programs, sports
- Free English classes
- Competitive compensation
- Corporate and social events
