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emids

Senior Consultant

Posted Yesterday
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In-Office or Remote
2 Locations
Senior level
In-Office or Remote
2 Locations
Senior level
Lead the design and implementation of real-time data pipelines and scalable data streaming solutions for healthcare data engineering projects.
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Role Overview:

We are looking for a highly skilled with expertise in Kafka, Python, and Azure Databricks (preferred) to drive our healthcare data engineering projects. The ideal candidate will have deep experience in real-time data streaming, cloud-based data platforms, and large-scale data processing. This role requires strong technical leadership, problem-solving abilities, and the ability to collaborate with cross-functional teams.

Key Responsibilities:

  • Lead the design, development, and implementation of real-time data pipelines using Kafka, Python, and Azure Databricks.
  • Architect scalable data streaming and processing solutions to support healthcare data workflows.
  • Develop, optimize, and maintain ETL/ELT pipelines for structured and unstructured healthcare data.
  • Ensure data integrity, security, and compliance with healthcare regulations (HIPAA, HITRUST, etc.).
  • Collaborate with data engineers, analysts, and business stakeholders to understand requirements and translate them into technical solutions.
  • Troubleshoot and optimize Kafka streaming applications, Python scripts, and Databricks workflows.
  • Mentor junior engineers, conduct code reviews, and ensure best practices in data engineering.
  • Stay updated with the latest cloud technologies, big data frameworks, and industry trends.

Required Skills & Qualifications:

  • 4+ years of experience in data engineering, with strong proficiency in Kafka and Python.
  • Expertise in Kafka Streams, Kafka Connect, and Schema Registry for real-time data processing.
  • Experience with Azure Databricks (or willingness to learn and adopt it quickly).
  • Hands-on experience with cloud platforms (Azure preferred, AWS or GCP is a plus).
  • Proficiency in SQL, NoSQL databases, and data modeling for big data processing.
  • Knowledge of containerization (Docker, Kubernetes) and CI/CD pipelines for data applications.
  • Experience working with healthcare data (EHR, claims, HL7, FHIR, etc.) is a plus.
  • Strong analytical skills, problem-solving mindset, and ability to lead complex data projects.
  • Excellent communication and stakeholder management skills.

 

Top Skills

Azure Databricks
Docker
Kafka
Kubernetes
NoSQL
Python
SQL

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