Billinghurst 1833
6º Floor
C1425 Ciudad
Autónoma de Buenos Aires
Argentina
Data Engineering Lead Bucharest, Romania
Data Engineering Lead 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. You will play a crucial role in designing and implementing data solutions in a dynamic and fast-paced environment. This position offers an exciting opportunity to contribute to the growth and success of our organization.
#LI-DNI
Responsibilities
- Design and implement data solutions in a dynamic and fast-paced environment
- Collaborate with cross-functional teams to understand and define data requirements
- Develop and maintain data models for the organization's data warehouse and data lake
- Conduct data analysis to support business decision-making processes
- Ensure the quality, integrity, and security of the organization's data assets
- Provide technical expertise and guidance on data-related projects
- Collaborate with stakeholders to identify opportunities for leveraging data to drive business solutions
- Drive the adoption of best practices and standards for data management and governance
- Lead and mentor junior members of the data analysis team
- Contribute to the continuous improvement of data analysis processes and methodologies
Requirements
- Mandatory prior relevant experience of minimum 7-10 years
- Knowledge of 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)
- Familiarity with SDLC tools & framework (CI/CD, Automation, monitoring)
- 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
- Familiarity with Azure data ecosystem (ingestion, storage, analytics & data visualization): Azure Ingestion framework, Databricks, 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
- Knowledge of Functional and Technical architecture principles
- Strong analytical, problem solving skills
- Previous experience working in a scaled agile environment
- Teamwork skills 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
- B2+ English level proficiency
Nice to have
- Agile/SAFe certification
- Certified Data Management Professional (DAMA)
- Azure Data Engineer experience or AWS/GCP equivalent
- Azure Solutions Architect experience or AWS/GCP equivalent
- Experience with retail, marketing, supply chain and finance
We offer
- Full access to cutting-edge tools and technologies
- Competitive compensation depending on experience and skills
- All-around Social package: professional & soft skills training, medical & family care programs, sports
- Free English classes
- Unlimited access to LinkedIn learning solutions
- Continuous experience exchange with experts and professionals worldwide
- Friendly team and comfortable working environment
- Engineering, corporate, and social events within and outside the Company
- Flexible working schedule
- Opportunities for self-realization
