Data Engineering Lead

Role Summary

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 - 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