3) 4+ years of experience working with diverse healthcare data sources, for example, claims, encounters, ADT data, FHIR, EHR data etc.

4) Mandatory - 2 yrs exp of Healthcare domain

5) Candidates immediate joiners or can join in 15 days will only be considered

- Use data engineering best practices to produce high quality, maximally available data models which are intuitive and trusted by stakeholders.

- Scope and implement new entities for unified data model.

- Interfacing with business customers, gathering requirements and developing new datasets in data platform

- Identifying the data quality issues to address them immediately to provide great user experience

- Extracting and combining data from various heterogeneous data sources

- Designing, implementing and supporting a platform that can provide ad-hoc access to large datasets

- Modelling data and metadata to support machine learning and AI

- Support integration efforts from acquisitions as necessary.

Qualifications :

- Bachelor's degree required in computer science, information technology, or related field. Masters degree in healthcare-related field is preferred.

- Strong understanding of database structures, theories, principles, and practices.

- Working knowledge with programming or scripting languages such as Python, Spark, and SQL.

- Demonstrated track record executing best practices for the full software development life cycle (SDLC), including documentation, coding standards, code reviews, source control management, deployment processes, testing, and operations.

- Familiarity with normalized, dimensional, star schema and snowflake schematic models.

- Healthcare domain and data experience

- Working experience with Databricks preferred.

- Databricks/Microsoft Azure Certification is a plus

- Strong written and oral communication skills.

You're a great for this role if :

- Youre naturally curious.

- You want know what the data means, and how it will be used upstream.

- You proactively identify issues and lean in to improve data quality for common use cases.

- 4+ years of experience working with diverse healthcare data sources, for example, claims, encounters, ADT data, FHIR, EHR data etc.

- 5 to 8 years using cloud-based services from Azure is a must In which Minimum 2 years of healthcare experience is required.

- 2+ years serving data sets to both BI tools and SE applications.