Sr. Azure Data Engineer (6 to 8 yrs) (Python / PySpark / SQL/ DataBricks) - Remote India

Bachelor's degree in computer science, information technology, or related field. Master’s 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). 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. 4+ years of experience working with diverse healthcare data sources (claims, encounters, ADT data, FHIR, EHR data). 3+ years’ using cloud-based services from Azure. 2+ years serving data sets to both BI tools and SE applications.

Develop Databricks pipeline's and enhance existing pipelines. Deal with business-critical data, with close monitoring Business Stakeholders. Use data engineering best practices to produce high quality, maximally available data models. 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. 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.