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Lead Data Pipeline Engineer Job Opening In India, India – Now Hiring HealthyMe AI


Job description

About the Role

We are seeking a Senior Data Engineer with deep expertise in building data pipelines and integrating healthcare data.

You will report to the Head of AI and Engineering and be responsible for designing, building, and operating the backbone of our AI-powered applications.

This is a critical role where you will create scalable pipelines that process clinical encounter data, retrieve associated medical documents, and deliver validated information to our machine learning systems for inference.

You will work in close collaboration with software engineers, ML specialists, and our clinical partners to bring our vision to life.


What you’ll do
  • Design, build, and operate scalable, event-driven data pipelines that support real-time clinical workflows.
  • Integrate with EHR/EMR systems (e.G., Epic) using standards such as FHIR and HL7.
  • Develop reliable systems to ingest, track, and update clinical events in real-time
  • Ensure downstream ML systems receive high-quality, structured data for inference and decision support.
  • Establish observability, monitoring, and error handling for robust pipeline performance.
  • Collaborate with ML engineers to align data flows with model needs (e.G., document ingestion, embedding storage, inference triggers).
  • Continuously improve pipeline design to maximize scalability, resilience, and automation.


What we’re looking for
  • 5+ years of experience building and maintaining production-grade data pipelines.
  • Strong background in workflow orchestration and event-driven systems.
  • Proficiency with relational databases and SQL (e.G., Postgres) as well as handling unstructured data.
  • Experience operating in cloud environments and working with distributed, highly available systems.
  • Track record of delivering data infrastructure that supports ML or analytics applications.
  • Excellent communication and collaboration skills;
    able to drive projects independently while working as part of a cross-functional team.
Bonus
  • Knowledge of HIPAA and healthcare data security/privacy requirements.
  • Familiarity with FHIR/HL7 data modeling in production settings.
  • Experience supporting machine learning inference pipelines in real-world applications.
  • Expertise with image data
  • Exposure to vector databases, embedding stores, or document retrieval systems.
  • Background in healthcare IT, clinical workflows, or health data analytics.

Required Skill Profession

Computer Occupations


  • Job Details

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at HealthyMe AI adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

What Is the Average Salary Range for Lead Data Pipeline Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in India. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Lead Data Pipeline Engineer?

Key qualifications for Lead Data Pipeline Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Lead Data Pipeline Engineer Job Success

HealthyMe AI interview tips for Lead Data Pipeline Engineer

Here are some tips to help you prepare for and ace your Lead Data Pipeline Engineer job interview:

Before the Interview:

Research: Learn about the HealthyMe AI's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

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Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

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Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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Final Thought:

To prepare for your Lead Data Pipeline Engineer interview at HealthyMe AI, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the HealthyMe AI's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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