Senior Data Engineer

Job description

Intetics is a leading global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions built with SMAC, RPA, AI/ML, IoT, blockchain, and GIS/UAV/LBS technologies.

Intetics is ISO 9001 (quality) and ISO 27001 (security) certified and a Microsoft Gold, Amazon, and Google Partner. The company won prestigious titles and awards, including Inc 5000, American Business Awards, Deloitte Technology Fast 50, Best European BPO, Clutch and ACQ5 Awards, and inclusion into IAOP’s Best Global Outsourcing 100 list.

We are inviting Senior Data Engineer with good English-level to join Intetics Global Team.

What we offer:

  • Working for a stable company with 24 years of history, the resident of the HighTech Park.
  • Cooperation with constant exclusively Western European and North American customers / more than 200 customers around the world.
  • Provide an opportunity to participate in longterm projects in an active stage of development.
  • Competitive "white" salary, protected from inflation.
  • Payment of English language training on internal courses.
  • Sports activities compensation.
  • Medical care compensation.
  • Professional trainings, seminars, conferences compensation

Requirements

What you need:

  • Strong technical background with complete understanding of data warehouse modeling, architectures, OLAP, OLTP data sets, etc.
  • Experience with data visualization, data warehouse and BI concepts.
  • Strong understanding of general BI and Data warehouse best practices.
  • Hands-on experience with all major components of Microsoft SQL Server, including SQL Server Integration Services, SQL Server Reporting Services, SQL Server Analysis Services, and PowerBI.
  • Experience in Azure Data Factory.
  • Experience in using of Azure Data Lake.
  • Experience in Azure SQL Database.
  • Experience writing SQL Server stored procedures, SQL optimization and schema design.
  • Working experience in Azure Cloud, Power BI workspace, Power BI services.