Lead Data Engineer

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.