Lead Data Engineer at EPAM Systems Inc
Geneva, GE, Switzerland -
Full Time


Start Date

Immediate

Expiry Date

26 Sep, 25

Salary

0.0

Posted On

27 Jun, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

English, Sql Server, Devops, Communication Skills, Performance Tuning, Etl, Openness, French, Windows, Sizing, Data Studio

Industry

Information Technology/IT

Description

Do you understand the data needs of your clients? Do you promote the benefits of a data-driven business in a modern world?
We are looking for a highly skilled and experienced Lead Data Engineer with knowledge of Azure to join us in Geneva in a position that requires a mix of remote and on-site work in a hybrid model.
As a Lead Data Engineer, you will be responsible for working closely with our client (Swiss-based bank), undertaking a full cloud migration program and executing data migration activities.
Join us and explore new career opportunities at the intersection of business planning and data development in the exciting field of global technology.

REQUIREMENTS

  • 5+ years of professional data engineering experience
  • Experience with Azure SQL DB, Azure SQL MI for provisioning, sizing, admin tasks and performance tuning
  • Good understanding of relational database and SQL language
  • Good knowledge of ETL
  • Hands-on experience with Windows and SQL Server troubleshooting
  • Experience with one of the various migration methods to Azure SQL servers using DMA, DMS, Azure Data Studio, backup and restore
  • Openness to cover a limited amount of cross-role tasks (DBA, scripting for DevOps)
  • Strong analytical and problem-solving abilities
  • Proficient communication skills in English and in French
Responsibilities
  • Design and implement modern, scalable data solutions using a range of new and emerging technologies from Azure
  • Execute the data migration project according to planning
  • Share data engineering experience when communicating with the client on their requirements, turning these into technical data solutions
  • Build and deliver data solutions using Azure products
  • Build documentation for operating the provided solution
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