Syneos Health
Syneos Health
Syneos Health ir pilnībā integrēta biofarmācijas risinājumu organizācija, kas palīdz klientiem virzīt terapijas no klīniskās izstrādes līdz komerciālai ieviešanai. Tās komandas apvieno klīnisko pētniecību, medicīnisko lietu pārvaldību, komerciālās zināšanas, tehnoloģijas un tirgus atziņas, lai risinātu mainīgās veselības aprūpes vajadzības un atbalstītu nozīmīgu ārstēšanas metožu izstrādi un ieviešanu visā pasaulē.

IT Data Analyst – Azure, SQL and Databricks

Improve Azure SQL, Data Factory and Databricks pipelines supporting Syneos Health’s life sciences services. Help maintain data quality and integrations, resolve issues, and manage releases.

Apraksts

  • Build and refine complex SQL queries to extract and transform data
  • Lead client discussions and explain complex findings
  • Apply and validate business logic and data quality checks in Azure Data Factory and Databricks pipelines
  • Investigate data issues, identify root causes, and implement corrective actions
  • Monitor system performance and resolve issues within agreed SLAs to support timely data delivery
  • Work with technical and business partners to address operational and analytical data needs
  • Keep documentation clear and current to support team continuity
  • Use Azure DevOps for CI/CD, Dev-to-Ops handovers, and release management
  • Assist with integrations to third-party platforms, including Veeva CRM and Salesforce
  • Provide support during required shifts aligned with EST hours
  • Coordinate with teams and departments to align priorities and tasks

Prasības

  • A bachelor’s degree in computer science, engineering, IT, or a related discipline is preferred
  • Two to four years of professional experience in data analysis, data engineering, or ETL
  • Azure Data Engineer Associate (DP-203) certification is required
  • Databricks certifications are highly desirable
  • Experience investigating root causes and troubleshooting production environments
  • Strong communication, collaboration, and teamwork abilities
  • Experience writing complex SQL queries using joins and Common Table Expressions (CTEs)
  • Experience with Azure Data Factory, Azure Databricks, Azure Data Lake Storage Gen2 (ADLS), SQL, and Python or PySpark
  • Knowledge of Unity Catalog and lakehouse architecture
  • Understanding of Azure DevOps CI/CD, release processes, and release management
  • Understanding of data integrations with third-party platforms such as Veeva CRM and Salesforce
  • Availability to provide support during shifts aligned with EST hours
  • Ability to work both independently and collaboratively
  • Strong organizational and analytical skills, with careful attention to detail

Priekšrocības

  • Career growth and progression opportunities
  • Supportive, engaged line management
  • Training in technical and therapeutic areas
  • Recognition from peers
  • A total rewards program
  • An inclusive culture
  • Reasonable accommodations for employees or applicants with disabilities, where appropriate

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