Data Engineering Lead

2 weeks ago


Bucharest, Bucureşti, Romania EPAM Systems Full time 40,000 - 80,000 per year

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

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.


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