
Senior Data Engineer
2 days ago
NovintiX is seeking a highly skilled and experienced Data Engineers (x4) to join our growing data team focused on delivering impactful solutions in the healthcare and medical technology space. If you're passionate about building scalable pipelines, driving analytics, and working with healthcare data standards—this role is for you
𝗞𝗲𝘆 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀:
𝗗𝗮𝘁𝗮 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁
• Design and maintain scalable pipelines using Databricks, Azure Data Factory, and ETL tools
• Optimise workflows for efficient data ingestion, transformation, and delivery
𝗗𝗮𝘁𝗮 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 & 𝗦𝘁𝗼𝗿𝗮𝗴𝗲
• Build data models and schemas for analytics and reporting
• Manage and secure SQL Server databases
𝗗𝗮𝘁𝗮 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻
• Handle structured/unstructured datasets from diverse sources
• Ensure alignment with HL7, FHIR, and HIPAA standards
𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 & 𝗥𝗲𝗽𝗼𝗿𝘁𝗶𝗻𝗴
• Create dashboards using Power BI, Tableau, Qliksense
• Collaborate with business users to deliver actionable insights
𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 & 𝗠𝗟 𝗥𝗲𝗮𝗱𝗶𝗻𝗲𝘀𝘀
• Process large datasets using Python, SQL, PySpark, and Spark SQL
• Prepare data for machine learning pipelines and predictive modeling
𝗧𝗲𝗮𝗺 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻 & 𝗠𝗲𝗻𝘁𝗼𝗿𝘀𝗵𝗶𝗽
• Work with data scientists, analysts, and domain experts
• Mentor junior engineers and promote best practices
𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 & 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻
• Monitor data pipeline performance
• Troubleshoot and refine systems for scalability and uptime
𝗖𝗼𝗺𝗽𝗹𝗶𝗮𝗻𝗰𝗲 & 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲
• Ensure adherence to regulatory data governance
• Implement robust data security for patient and clinical information
𝗤𝘂𝗮𝗹𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 & 𝗦𝗸𝗶𝗹𝗹𝘀:
• 7+ years in Data Engineering, ideally in healthcare or medical data environments
• Strong hands-on experience with:
• Databricks, Azure Data Factory, SQL Server
• Python, SQL, PySpark, Spark SQL
• Power BI, Tableau, Qliksense
• Familiarity with HL7, FHIR, and healthcare data privacy standards (HIPAA)
• Proven ability to work independently and in cross-functional teams
• Strong communication, documentation, and problem-solving skills
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