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.
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
- 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
- All-around Social package: professional & soft skills training, medical & family care programs, sports
- Relocation opportunities
- 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
