EPAM Systems

Senior Big Data Engineer

1 month agoZandvoort, Netherlands

Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has leveraged its advanced software engineering heritage to become the foremost global digital transformation services provider - leading the industry in digital and physical product development and digital platform engineering services. Through its innovative strategy; integrated advisory, consulting, and design capabilities; and unique 'Engineering DNA,' EPAM's globally deployed hybrid teams help make the future real for clients and communities around the world by powering better enterprise, education and health platforms that connect people, optimize experiences, and improve people's lives. In 2021, EPAM was added to the S&P 500 and included among the list of Forbes Global 2000 companies.

Selected by Newsweek as a 2021 Most Loved Workplace, EPAM's global multi-disciplinary teams serve customers in more than 45 countries across five continents. As a recognized leader, EPAM is listed among the top 15 companies in Information Technology Services on the Fortune 1000 and ranked as the top IT services company on Fortune's 100 Fastest-Growing Companies list for the last three consecutive years. EPAM is also listed among Ad Age's top 25 World's Largest Agency Companies for three consecutive years, and Consulting Magazine named EPAM Continuum a top 20 Fastest-Growing Firm.


EPAM Systems is looking for a hands-on experienced Data Engineer capable of leading the technical decisions of the team, communicating these decisions and their trade-offs clearly to different stakeholders (business, engineers, architects, POs, managers etc) and implement them in practice

  • Create and design software tooling/methodologies for efficient design of Machine Learning accelerators in our data analytics landscape
  • Work with business and technical stakeholders across functions to identify, analyze, sell, and prove opportunities to apply ML to existing and new use-cases
  • Support the ED&A teams and lead by example on how to create production ready ML models using all the best practices and the MLOps methodology
  • Design and prove optimal data pipeline architectures to support ML
  • Design, manage and support the preparation of large, complex data sets in line with functional and technical requirements
  • Understand and implement practices to comply with GDPR and other data privacy requirements
  • Provide hands-on leadership, coaching, mentoring, and ML engineering best practices with squads
  • Work collaboratively with internal, Geo and external partners
  • Conceptual intelligence and creativity of a Solution Architect
  • Proven track-record of deploying software products powered by ML using large commercial datasets and pipelines
  • Experience in partnering with business stakeholders to shape process optimization use cases powered by ML
  • Real world experience in applying MLOps; operating ML models in production
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of schema formats
  • Solid experience building and optimizing big data pipelines, architectures and data sets
  • Strong analytic skills related to working with unstructured datasets
  • Algorithmic modelling of machine learning workloads
  • Strong experience with knowledge and metadata management principles and methods
  • Hands on experience with MSBI stack, a bonus
  • Working knowledge of REST and implementation patterns pertaining to Analytics
  • Solid experience with advanced analytics/ML modeling/Visualization tools
We offer
  • Competitive Compensation
  • 26 paid holiday days
  • Commuting to work- costs reimbursement
  • Option to participate in our Pension Plan scheme OR Health insurance Compensation
  • Discretionary Performance Based bonus
  • Laptop + Corporate Simcard
  • Annual Salary Review
  • Trainings, Internal Education and Dutch Language Courses
  • Unlimited access to LinkedIn learning solutions
  • Relocation Package
  • Regular Corporate and Social Events
  • The opportunity to be part of a diverse and multicultural company
  • EPAM Employee Stock Purchase Plan (ESPP) (subject to certain eligibility requirements)

Client-provided location(s): Hoofddorp, Netherlands
Job ID: EPAM-61676