Data Engineering Lead
at Epam Systems
București, Municipiul București, Romania -
| Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
|---|---|---|---|---|---|---|---|
| Immediate | 21 Nov, 2024 | Not Specified | 22 Aug, 2024 | 7 year(s) or above | Business Acumen,Cloud,Automation,Teamwork,Data Visualization,Agile Environment,English,Writing,Data Vault,Framework,Supply Chain,Star Schema,Communication Skills,Shares,Collaboration,Finance | No | No |
Required Visa Status:
| Citizen | GC |
| US Citizen | Student Visa |
| H1B | CPT |
| OPT | H4 Spouse of H1B |
| GC Green Card |
Employment Type:
| Full Time | Part Time |
| Permanent | Independent - 1099 |
| Contract – W2 | C2H Independent |
| C2H W2 | Contract – Corp 2 Corp |
| Contract to Hire – Corp 2 Corp |
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.
We are seeking a Data Engineering Lead to join our team.
REQUIREMENTS
- Mandatory prior experience of minimum 7-10 years in a related work experience
- IT architecture and solution design in a data oriented ecosystem
- Exposure to Cloud native data platforms and modern architectures (event-driven, real-time)
- Thorough understanding of data lifecycle value chain and underlying components (ETL/ELT, DWH/Data Lake)
- Familiar with SDLC tools & framework (CI/CD, Automation, monitoring)
- Previous experience working in a scaled agile environment
- Experience with retail, marketing, supply chain and finance is a plus
- Working knowledge on data science development lifecycle
- Working knowledge on delivering projects in agile mode by using CI/CD capabilities and Azure DevOps pipelines
- Azure data ecosystem (ingestion, storage, analytics & data visualization): Azure Ingestion framework, Data Bricks, Azure Synapse, Delta Lake, MS PowerBI
- Data modelling skills (from logical to physical model, different modelling techniques: star schema, data vault) and exposure to MPP frameworks
- Functional and Technical architecture principles
- Strong analytical, problem solving skills and business acumen
- Teamwork and ability to operate within a large team in a matrix organization: involves others, shares knowledge and seeks opportunities for cross functional working and collaboration
- Excellent communication skills, fluent in English, verbal and writing and ability to translate complex matters into simple concepts
- Experience with global enterprise organizations and working with offshore India based IT organizations
- Flexible and proactive work attitude
Responsibilities:
- Deliver projects in agile mode by using CI/CD capabilities and Azure DevOps pipelines
- Apply data science knowledge
- Develop Functional and Technical architecture
REQUIREMENT SUMMARY
Min:7.0Max:10.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Proficient
1
București, Romania
