• International Exposure: Work with global clients on cutting-edge projects.
• Inclusive Culture: Thrive in a collaborative and diverse work environment.
• Career Development: Enjoy continuous learning and professional growth opportunities.
  
  

• Career Stability: Enjoy a stable career path with ample project opportunities.
• Immediate Coverage: Private HMO and insurance benefits from day one.
• Jubilee Celebration: A 5-year milestone includes a complimentary trip to any European ERNI sites.
• Comprehensive Benefits: Government-mandated benefits including 13th-month pay.
• Skill Enhancement: Access free training and certifications.
• Wedding Gift: To celebrate your special day.
• Baby Basket: To welcome your newborn to the ERNI family.
• Fruit Basket: Boost of vitamins during hospitalization.
• Office Perks: Enjoy free snacks and coffee.
  
  

• Free Training: Advance your skills through technical and non-technical training.
• Challenging Projects: Engage in complex software projects across MedTech, Industry,
  
  

• Supportive Environment: Benefit from a team dedicated to guiding and supporting your success.
• Recognition and Advancement: Receive acknowledgment for your efforts and
  
  

• Open Communication: Experience transparency and value your input in our culture.
  
  

• Hybrid Work Setup: Balance remote and in-person work for better work-life integration.
  
  

• Connect and Celebrate: Participate in a variety of events including leisure, summer,
  
  

• Minimum 3 years data engineering / development experience in Azure working within data teams.
• Familiarity with Azure DevOps CI/CD and other integration/orchestration requisites for moving data source platforms.
• Experience in data migration and/or data lake projects.
• Familiarity with Azure DL components - specifically Azure Data Factory, ADLS gen 2 - particularly in terms of data integration.
• Familiarity with Databricks and Databricks Unity Catalog.
  
  

• Performs data integration work via Azure Data Factory for connecting systems/ deploying data pipelines.
• Develops integration and transformation scripts to manage the data stores.
• Manages and monitors deployed pipelines through Azure DevOps CI/CD, Azure Data Factory and the ADLS.
• Performs data analysis, lineage mapping and transformation logic documentation of data as ingested into a data lake environment.
• Facilitates engineering requirements for running Databricks and Databricks Unity Catalog.
• Facilitates platform and application level monitoring and management of resources.
• Handle DataOps and/or DevOps requirements relevant to data integration/transformations.
• Assists in debugging or troubleshooting scripts for running ingestion pipelines.
  
  

• 18 Locations in 8 Countries
• 800+ Employees across the Globe
• ISO Certified

Please refer to job description.