Data Modeller

Hi,

Greetings!

Data Modeller

This opportunity is under the direct pay roll of US based MNC.

Job Location:

Mode of work:

Shift timings:

About the Company:

The Global MNC is a mission-driven startup transforming the healthcare payer industry. Our secure, cloud-enabled platform empowers health insurers to unlock siloed data, improve patient outcomes, and reduce healthcare costs. Since our founding in 2017, we've raised over $81 million from top-tier VCs and built a thriving SaaS business. Join us in shaping the future of healthcare data.

With our deep expertise in cloud-enabled technologies and knowledge of the healthcare industry, we have built an innovative data integration and management platform that allows healthcare payers access to data that has been historically siloed and inaccessible. As a result, these payers can ingest and manage all the information they need to transform their business by supporting their analytical, operational, and financial needs through our platform.

• Since our founding in 2017, it has built a highly successful SaaS business, raising more than $80 Million by leading VC firms with profound expertise in the healthcare and technology industries.
• We are solving massive complex problems in an industry ready for disruption. We're building powerful momentum and would love for you to be a part of it!

Interview process: 5 rounds of interview

4 rounds of Technical Interview

1 round of HR or Fitment discussion

About the Role:

Data Modeler

What Youll Do

• Design and build conceptual and logical data models aligned with enterprise architecture and healthcare standards.
• Perform data profiling and apply data integrity principles using SQL.
• Collaborate with cross-functional teams to ensure models meet client and business needs.
• Use tools like Erwin, ER/Studio, DBT, or similar for enterprise data modeling.
• Maintain metadata, business glossaries, and data dictionaries.
• Support client implementation teams with data model expertise.

What Were Looking For

• 2+ years of experience in data modeling and cloud-based data engineering.
• Proficiency in enterprise data modeling tools (Erwin, ER/Studio, DBSchema).
• Experience with Databricks, Snowflake, and data lakehouse architectures.
• Strong SQL skills and familiarity with schema evolution and data versioning.
• Deep understanding of healthcare data domains (Claims, Enrollment, Provider, FHIR, HL7, etc.).
• Excellent collaboration and communication skills.

In case you have query, please feel free to contact me on the below mention email or whatsapp or call.

Thanks & Regards,

Priyanka Das

Email: priyanka.das@dctinc.com

Contact Number: 74399 37568