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Data Engineer @ Emids Technologies

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 Data Engineer

Job Description

Note: Candidate Must have experience in Python, Kafka Stream, Pyspark, and Azure Databricks.

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.

Roles and Responsibilities

Data Engineer

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: Emids Technologies
Location(s): India

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Keyskills:   azure databricks schema cd continuous integration python technical leadership analytical data data processing pyspark ci/cd data engineering sql cloud streaming kafka streams data modeling stakeholder management kafka time big data aws nosql databases communication skills

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Emids Technologies

Founded in 1999 and based in Nashville, Emids is a leading provider of digital transformation solutions across the healthcare and life science ecosystem, providing tailored, cutting-edge solutions and services across digital strategy, design, and engineering to payers, providers, biopharma, medica...