Data Engineer-Healthcare Exp

Overview

On Site
Depends on Experience
Contract - W2

Skills

Big Data
Data Quality
ASC X12
Collaboration
HL7
Amazon Web Services
FOCUS
Dashboard
Microsoft Power BI
RESTful
Google Cloud Platform
Analytical Skill
Electronic Data Interchange
Microsoft SQL Server
Good Clinical Practice
Positive Attitude
Performance Tuning
Database
Analytics
Roadmaps
Innovation
Apache Spark
Microsoft Azure
Communication
Cloud Computing
SQL
Stored Procedures
Databricks
Health Care
Microsoft Exchange
Public Relations
Data Integrity
Software Engineering
Python

Job Details

Data engineer role with healthcare exp .

Location Vancouver, BC

Location: Hybrid - 2 days/ in Vancouver
Responsibilities:

  • Design and implement robust, scalable, and high-performance data pipelines
  • Implement Data Ingestion, transformation, and Data Quality features to support Application Engineering, Analytics, and various Business Verticals across the organization.
  • Collaborate with Data Architect, and Business Analysts in building data models to improve reliability and interpretability of data for analytical and business needs.
  • Design, develop, and maintain robust data export solutions to facilitate the efficient transfer of data to external systems and platforms.
  • Actively contribute to the creation of design documents, assess technologies, and conduct Proof of Concepts (PoCs).
  • Experience supporting production jobs and mitigate issues in a timely manner.
  • Write unit, integration, and functional tests for new features.
  • Contribute to the Technology Roadmap, PR Reviews and formulate standards/best practices.
  • Bring in a positive attitude and foster a culture that embraces continuous learning and Innovation.

Experience:

  • 5+ years of experience as a Data Engineer, with a focus on building enterprise data solutions.
  • 3+ years of Cloud Experience: Azure (preferred)/AWS/Google Cloud Platform.
  • Strong experience with Python, with ability to discuss design patterns
  • Expert in Microsoft SQL Server Required .
  • databases.
  • Expertise with SQL, stored procedures, triggers, and performance tuning.
  • Experience working with Big Data technologies: Spark, Databricks or other frameworks.
  • Prior experience in building data pipelines that are scalable, reliable and fault tolerant while delivering data integrity and code quality.
  • Experience in building data lakes to support high speed querying by the end users.
  • Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
  • Prior Experience working with Healthcare Information exchange standards like HL7, X12 EDI, FHIR is required
  • Experience or knowledge of creating RESTful API s is required .
  • Experience building Dashboards and visualizations using Power BI or other tools is a plus.
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