Share this Job

Lead Data Engineer

About Providence

Providence, one of the US’s largest not-for-profit healthcare systems, is committed to high quality, compassionate healthcare for all. Driven by the belief that health is a human right and the vision, ‘Health for a better world’, Providence and its 120,000 caregivers strive to provide everyone access to affordable quality care and services.

Providence has a network of 52 hospitals, 1,000+ care clinics, senior services, supportive housing, and other health and educational services in the US. 

Providence India was established to bring to fruition the transformational shift of the healthcare ecosystem to Health 2.0. The India center will have focused efforts around healthcare technology and innovation, and play a vital role in driving digital transformation for Improved patient outcomes and experiences, caregiver efficiency, and running the business of Providence at scale.



Why Us?

  • Best In-class Benefits
  • Inclusive Leadership
  • Reimagining Healthcare
  • Competitive Pay
  • Supportive Reporting Relation

The lead data engineer shall play a key role in performing critical clinical data migrations . You shall collaborate and work with your team at India , architects, analysts at the stateside. From day one you'll need to effectively balance day-to-day business needs with larger strategic initiatives that the team is working on and provide your expertise.

 

What we are looking for?

 

This role requires:

  • A self-starter mindset who has ability to architect and build solutions for data migration problems from scratch.
  • Ability to synthesize business needs into data requirements and build a roadmap for sustainable solutions for data extraction and cleansing, migrations ,data conflict resolutions .
  • Strong mentorship capabilities to groom and guide the other members of the team and ensure to build a highly efficient and productive team that can deliver a work product that meeting the business requirements. 
  • Strong collaboration and communication skills, ability to constructively work with others to deliver great work. Helpful, respectful, collaborative, yet disagreeable when appropriate.
  • Someone who has critical experience of performing imaging data migrations.
  • Someone who thoughtfully adapts to drive towards the best outcome for both people and business.

 

Who we are looking for ?

 

  • Mandatory :
    • Fluent in data stack and experience of working on large datasets.
    • Strong experience on Microsoft SQL server and SQL Azure , Azure databricks, Azure Data Factory , experience with any NoSQL DB .
    • Hands on experience on scripting language such as python/scala/pyspark.
    • Has experience on ETL/ELT concepts and tools.
    • B.Tech/MTech in computer science or equivalent.
    • Certified Azure Data Engineer Associate(or equivalent).
  • Preferred :
    • Experience in healthcare industry and knowledge of clinical imaging data and DICOM data migrations
    • Working experience of creating routes and data migrations from PACS or similar application entities to VNA.
    • Experience in ML to build insights from imaging data.

 

What your day looks like ?

 

  • Hands on experience of working on DICOM data parsing, data extraction from PACS server. 
  • Ability to translate business requirements into technical solutions that meet the requirements.
  • Build PoCs(proof of concepts) for new business opportunities and lookout to build and scale the team.
  • Design and implement solutions that enable DICOM data migrations of historical and new ingested data from PACS to VNA. 
  • Able to troubleshoot and analyze issues related to data engineering  and assist in identifying possible solutions . 
  • Mentor the team members and technically guide them ensuring the team is aligned and focussed to achieving the business goals.                                                     
  • Design processes that monitor data sources for anomalies and support rapid resolution for the same.                                                 
  • Knowledge of relevant data structures and ability to seek out answers by finding documentation or SMEs who can assist                                                    
  • Write and debug clean, scalable code. Conduct code QA.                                                       

At Providence, we not only acknowledge differences but also honor it. We appreciate differences related to the following factors but not limited to background, education, gender, age, generation, religious background, ability, technical skills in all our employment related opportunities.

Health is a human right