Overview

Unlock Your Future with Nexaminds!

Responsibilities

• 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 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.
• You're 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.
• 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.
• Stock options 📈
• Remote work options 🏠
• Flexible working hours 🕜

Benefits

• But it's not just about the work; it's about the people too. You'll be collaborating with some seriously awesome IT pros.
• You'll have access to mentorship and tons of opportunities to learn and level up.