[Hiring] Principal Azure Data Engineer @Nexaminds

Role Description

We are currently seeking a highly motivated Principal Data Engineer with experience in Healthcare Domain. This role collaborates closely with product teams, data engineers, and clinical leaders to expose various data products for internal and external clients. With over a million managed lives across the country and terabytes of data generated, our teams need to be continuously equipped with the tools and insights to drive strategy and innovation to further our core values of improving patient outcomes and empowering our providers.

• Develop Databricks pipelines and enhance existing pipelines.
• Deal with business-critical data, with close monitoring of Business Stakeholders.
• 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. 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), 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.

Requirements

• You’re naturally curious. You want to 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.
• You are an independent contributor.
• You are strong with SQL & Spark debugging skills.
• 10+ years of experience working with diverse healthcare data sources, for example, claims, encounters, ADT data, FHIR, EHR data, etc.
• 8+ years’ using cloud-based services from AWS, GCP, or Azure.

Benefits

• Stock options 📈
• Remote work options 🏠
• Flexible working hours 🕜
• Benefits above the law.