3166-Senior Data Modeler

We at Innovaccer are looking for a Data Modeler to help us build and maintain our unified data models across different domains and subdomains within healthcare. Innovaccer is the #1 healthcare data platform with a 100% year over year growth. We are building the healthcare cloud  to help large healthcare organizations including providers, payers, and health-systems manage and consume their own data with ease.

To succeed in this role, you’ll need to have a strong technical understanding of databases, have prior experience in building enterprise data models, and be comfortable in working in cross-functional teams with multiple stakeholders.

What You Need

●      5+ years of recent experience in Database management, Data Analytics, and Data warehousing, including cloud-native database and modern data warehouse

●      Strong database experience in analyzing, transforming, and integrating data (preferably in one of the database technologies such as Snowflake, DeltaLake, NoSQL, Postgres)

●      Work with the Data Architect/Solution Architect and application Development team to implement data strategies.

●      Create Conceptual, logical, and physical data models using best practices for OLTP/Analytical models to ensure high data quality and reduced redundancy.

●      Perform reverse engineering of physical data models from databases and SQL scripts and create ER diagrams.

●      Evaluate data models and physical databases for variances and discrepancies

●      Validate business data objects for accuracy and completeness, especially in the Healthcare domain.

●      Hands-on experience in building scalable and efficient processes to build/modify data warehouses /data lakes.

●      Performance tuning at the database level, SQL Query optimization, Data partitioning & efficient Data Loading strategies

●      Understanding of parquet/JSON/Avro data structures for building schema on evolution design

●      Worked on AWS or Azure cloud architecture in general and usage of MPP compute, Shared storage, autoscaling, object storage such as ADLS, S3 for Data Integrations

●      Prefer experience in Spark’s Structured APIs using DataFrames and SQL.

●      Good to have Databricks-Delta Lake and Snowflake Data Lake projects

Here’s What We Offer
● Generous Leaves: Enjoy generous leave benefits of up to 40 days.

● Parental Leave: Leverage one of industry's best parental leave policies to spend time with your new addition.

● Sabbatical: Want to focus on skill development, pursue an academic career, or just take a break? We've got you covered.

● Health Insurance: We offer comprehensive health insurance to support you and your family, covering medical expenses related to illness, disease, or injury. Extending support to the family members who matter most.

● Care Program: Whether it’s a celebration or a time of need, we’ve got you covered with care vouchers to mark major life events. Through our Care Vouchers program, employees receive thoughtful gestures for significant personal milestones and moments of need.

● Financial Assistance: Life happens, and when it does, we’re here to help. Our financial assistance policy offers support through salary advances and personal loans for genuine personal needs, ensuring help is there when you need it most.

Innovaccer is an equal-opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered.

Disclaimer:

Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details.