• 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,
  
  

• Experience as an IT Business Analyst and/or Data Analyst performing technical data analysis work for data teams (preference is work experience on data lake/data lake house, especially in Azure).
• Familiarity with Agile Scrum (best if as a scrum master) or at least working in scrum teams.
• Familiarity with Azure DevOps CI/CD and other integration/orchestration requisites for moving data source platforms.
• Familiarity with data governance / data management (DMBoK).
• Experience in data migration and data lake projects.
• Familiarity with Azure DL components - specifically Azure Data Factory, ADLS gen 2
  
  

• Performs data analysis of scripts and technical metadata to be plotted out by the Data Engineers for creating the deployment, transformation scripts and mapping logic from source to the PBI dashboard.
• Prepares the required technical metadata in the data dictionaries to use for recreating the metadata store inside the Data Lake
• Compiles business glossaries and assists in preparing metadata to be refined/complete the Enterprise Data Catalog inside the Databricks Unity Catalog.
• Assists in SIT and UAT (alpha) validation work on access and actual scripting as defined in test plans.
• Assists in the creation of the Test Plans for all the validation work needed across the build.
• Gathers business and functional requirements from the stakeholders and helps translate these into actionable deliverables.
  
  

• Data Analysis and Business requirements on a Data Migration type of project.
• Specification of tasks level transformation and stakeholder communication/ clarification on data consolidation.
• PowerBI representation for testing and report presentation.
• Sql review and analysis for existing scripts.
• Technical Documentation on the following (Playbook, Data Platform integration)
• Working knowhow on Data Management and Data Lifecycle.
  
  

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

Please refer to job description.