Snowflake Architect/Engineer at EPAM Systems Inc
London, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

17 Oct, 25

Salary

0.0

Posted On

17 Jul, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, Data Integration, Data Governance, Data Quality, Automation, Security, Communication Skills

Industry

Information Technology/IT

Description

Are you passionate about building robust data platforms that drive decision-making and innovation? Do you have strong expertise in Snowflake and cloud-based data architecture? Are you excited by the idea of supporting cutting-edge analytics in a fast-paced trading environment?
At EPAM, we are looking for a skilled Snowflake Architect / Engineer to join our on-site team in Geneva. As part of a high-impact data initiative, you will help design, implement and maintain a Snowflake-based platform supporting analytics for trading and risk management.
This is your chance to work closely with cross-functional teams on mission-critical systems and help shape the data architecture of a global leader in the commodity trading sector. If you’re ready to take your expertise to the next level in a challenging, collaborative and agile environment, EPAM is the place for you.

REQUIREMENTS

  • Proven experience designing and operating Snowflake-based data platforms
  • Hands-on experience with AWS services
  • Proficient in Data Modelling, Data Integration and Data Software Engineering
  • Proficiency in Python and scripting for automation and data engineering tasks
  • Experience with data integration tools and techniques (ETL/ELT)
  • Familiarity with RDBMS systems and migration to cloud environments
  • Understanding of data governance, data quality and security frameworks
  • Strong analytical and communication skills with a collaborative mindset
Responsibilities
  • Design and implement scalable data architectures using Snowflake
  • Develop and maintain ETL/ELT pipelines for analytics and reporting
  • Collaborate with business and technology teams to align data design with evolving needs
  • Support data migration and transformation efforts from legacy systems
  • Ensure performance, scalability, governance and security across data assets
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