Senior Data Engineer

Nordic Consulting Partners Inc

Hybrid
Azure databricks (pyspark)
Etl principles and best practices
Data architecture and pipelines
Nordic Consulting Partners Inc is seeking a Senior Data Engineer to design and maintain data architecture and pipelines, primarily using Azure Databricks and PySpark, in a hybrid work environment. This role focuses on optimizing data solutions for healthcare providers, emphasizing collaboration, data governance, and mentorship within the team

Job Summary

  • Nordic, a Best in KLAS IT Services Firm serving the healthcare industry, empowers providers to leverage technology for digital transformation.
  • Key responsibilities include designing, developing, and optimizing data architecture and pipelines using Azure Databricks (PySpark) and adhering to ETL principles.
  • The role involves collaborating with various teams to optimize models, ensure data quality, security, and governance, and mentoring data team members.

Matching Summary

Match Score: 85

Nordic Consulting Partners Inc is seeking a Senior Data Engineer to design and maintain data architecture and pipelines, primarily using Azure Databricks and PySpark, in a hybrid work environment. This role focuses on optimizing data solutions for healthcare providers, emphasizing collaboration, data governance, and mentorship within the team.

Skills & Requirements

Must-have

  • Azure Databricks (PySpark)
  • ETL principles and best practices
  • data architecture and pipelines
  • data governance and security
  • end to end DataOps workflows
  • SQL queries, stored procedures
  • Delta Lake architectures

Nice-to-have

  • empower healthcare providers
  • subject matter expertise
  • reusable data pipelines
  • engineering communities of practice
  • continuous integration capabilities

Key Requirements

  • Bachelor's degree or 11 years of related experience
  • 5 years' experience in data engineering or architecture
  • 5 years' experience designing, building, deploying, and 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, and troubleshooting SQL queries, stored procedures and ETL processes
  • 5 years' experience writing complex T-SQL queries
  • 3 years' experience foundational data management practices
  • 3 years' experience working with DevOps and continuous integration capabilities

Work Rights

Not specified

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