**
Nordic Nannies is seeking a Senior Data Engineer with extensive experience in data architecture, specifically using Azure Databricks and ETL principles, to support healthcare providers in their digital transformation efforts. The ideal candidate will have a strong technical background, collaborative mindset, and a commitment to data governance and quality.
**
Job Summary
Nordic, repeat Best in KLAS IT Services Firm and solely serving the healthcare industry, strives to empower healthcare providers to leverage technology and to realize digital transformation.
Designs, develops, optimizes, and maintains data architecture and pipelines that adhere to Extraction, Transformation, Loading (ETL) principles and best practices using Azure Databricks (PySpark).
Leads engineering communities of practice (CoP) to expand influence and quality across the digital organization.
Matching Summary
Match Score: 75
**
Nordic Nannies is seeking a Senior Data Engineer with extensive experience in data architecture, specifically using Azure Databricks and ETL principles, to support healthcare providers in their digital transformation efforts. The ideal candidate will have a strong technical background, collaborative mindset, and a commitment to data governance and quality.
**
Skills & Requirements
Must-have
Azure Databricks (PySpark)
ETL principles and best practices
data architecture and pipelines
data governance and security
DataOps and analytical workflows
SQL queries, stored procedures
Delta Lake architectures
DevOps and CI/CD
Nice-to-have
empower healthcare providers
subject matter expertise
reusable data pipelines
engineering communities of practice
mentors data team members
hybrid deployments
Key Requirements
5 years' experience in data engineering or architecture
5 years' experience designing, building, deploying, troubleshooting data extract and load jobs
5+ years' experience building cloud data pipelines using Azure Databricks (PySpark) and Azure data factory
3 years' experience building DB objects, authoring, troubleshooting SQL queries, stored procedures and ETL processes
5 years' experience writing complex T-SQL queries
3 years' experience foundational data management practices