Sr. Data Engineer – Data & Analytics- Hybrid

At least 7 years of hands-on experience as a Data Engineer in Data & Analytics in the Insurance industry

• Proficient knowledge of English written and spoken (B2 and above)
  Expert-level proficiency in MS SQL and T-SQL, with deep experience
  in performance tuning and designing complex relational database
  schemas (RDBMS)
  Deep expertise across the data lifecycle, demonstrated by advanced
  proficiency in at least three of the following areas:
  Architecting solutions in SAP Business Objects, including universe
  design, development, and optimization
  SAP Data Services to designing and building enterprise-grade data
  flows
  Proven, in-depth experience developing complex workflows and
  scalable data pipelines with Alteryx or MS Azure Data Factory