About the job
Are you a tech professional looking for remote work in a global setting? If yes, this job is for you.
We are seeking a highly skilled and motivated Data Engineer to join our team.
The ideal candidate will be responsible for maintaining existing data systems, enhancing our current Data Platform, and implementing future changes as our clients' consumption needs and ingestion evolve. This role requires expertise in handling complex datasets and collaborating with senior team members on high-impact projects.
Responsibilities
We accept CVs in English only.
Please note that even though you are applying for this position, you may be offered other projects to join within EPAM.
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 highly skilled and motivated Data Engineer to join our team.
The ideal candidate will be responsible for maintaining existing data systems, enhancing our current Data Platform, and implementing future changes as our clients' consumption needs and ingestion evolve. This role requires expertise in handling complex datasets and collaborating with senior team members on high-impact projects.
Responsibilities
- Maintain and enhance existing data systems
- Develop enhancements for the existing Data Platform
- Implement future changes to accommodate growing consumption needs and ingestion
- Work with complex datasets, including the addition of new datasets from scratch
- Collaborate with senior team members on complex projects, particularly when adding new large datasets
- Grow with the technological landscape, adapting to new tools and methodologies as they emerge
- 2+ experience in Data Software Engineering
- Proficiency in PySpark
- Experience with Azure Databricks, Azure DevOps, and Azure Event Hubs
- Knowledge of the Azure cloud stack
- Experience in working with large and complex datasets
- Ability to work in a team and collaborate with various stakeholders
- Familiarity with Databricks Unity Catalog and Terraform
- Experience in Azure Analytics Engineering
- Familiarity with DevOps practices
- Paid time off
- Paid sick leave days
- Medical insurance
- Meal compensation
- Allocated funds to use on Coverflex platform
- Flexible and hybrid work opportunities
- Free licensed software
- Relocation and mobility programs
- Flexible and hybrid work opportunities
- Access to soft skills training in general communication, presenting and public speaking, diversity, equity and inclusion (DEI), cultural Intelligence, self-productivity, well-being and more.
- Unlimited access to the LinkedIn Learning Library, including 22,000+ courses
- Over 20 language courses
- Access to internal learning platforms, EPAM University and a wide range of professional communities and competency centers
- Upskilling, reskilling and certification courses
- Skill advisory service
We accept CVs in English only.
Please note that even though you are applying for this position, you may be offered other projects to join within EPAM.
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.
