Data Engineering Specialist

2 weeks ago


Noida, Uttar Pradesh, India beBeeData Full time ₹ 1,20,00,000 - ₹ 1,50,00,000

We are seeking a talented professional to lead and contribute to our healthcare data engineering initiatives. This role is pivotal in building scalable, real-time data pipelines and processing large-scale healthcare datasets in a secure and compliant cloud environment.

Key Responsibilities
  • Design and develop scalable real-time data streaming solutions using Apache Kafka and Python.
  • Architect and implement ETL/ELT pipelines using Azure Databricks for both structured and unstructured healthcare data.
  • Optimize and maintain Kafka applications, Python scripts, and Databricks workflows to ensure performance and reliability.
  • Ensure data integrity, security, and compliance with healthcare standards such as HIPAA and HITRUST.
  • Collaborate with data scientists, analysts, and business stakeholders to gather requirements and translate them into robust data solutions.
  • Mentor junior engineers, perform code reviews, and promote engineering best practices.
  • Stay current with evolving technologies in cloud, big data, and healthcare data standards.
  • Contribute to the development of CI/CD pipelines and containerized environments (Docker, Kubernetes).
Requirements
  • 4+ years of hands-on experience in data engineering roles.
  • Strong proficiency in Kafka (including Kafka Streams, Kafka Connect, Schema Registry).
  • Proficient in Python for data processing and automation.
  • Experience with Azure Databricks (or readiness to ramp up quickly).
  • Solid understanding of cloud platforms, with a preference for Azure (AWS/GCP is a plus).
  • Strong knowledge of SQL and NoSQL databases; data modeling for large-scale systems.
  • Familiarity with containerization tools like Docker and orchestration using Kubernetes.
  • Exposure to CI/CD pipelines for data applications.
  • Prior experience with healthcare datasets (EHR, HL7, FHIR, claims data) is highly desirable.
Desirable Skills
  • Excellent problem-solving abilities and a proactive mindset.
  • Strong communication and interpersonal skills to work in cross-functional teams.


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