Job description

We are seeking an accomplished Senior Data Engineer with deep expertise in Azure Databricks, advanced data engineering, and healthcare data science . This role is critical to our mission of leveraging data to transform healthcare outcomes. The ideal candidate will have a proven ability to design and scale enterprise-grade data pipelines, optimize workflows in the cloud, and deliver predictive insights that directly impact patient care and operational efficiency. As part of our data engineering team, you will collaborate with data scientists, analysts, and software engineers to deliver secure, high-performance solutions that adhere to healthcare standards and compliance requirements. Key Responsibilities • Design, build, and optimize scalable ETL/ELT pipelines in Azure for diverse healthcare data, including EHR, claims, IoT, and unstructured sources. • Implement advanced data storage and processing solutions leveraging Azure Data Lake, Synapse Analytics, Databricks, and Azure SQL. • Partner with data scientists to develop, deploy, and operationalize machine learning models and predictive analytics solutions supporting healthcare use cases. • Ensure data quality, governance, security, and compliance with HIPAA, PHI/PII, and other healthcare regulations. • Automate workflows using Azure Data Factory, Databricks jobs, and CI/CD pipelines to enhance reliability and reduce manual effort. • Monitor, troubleshoot, and fine-tune production pipelines for scalability, cost efficiency, and high availability . • Collaborate cross-functionally to translate business needs into robust technical solutions, aligning data engineering practices with healthcare standards (FHIR, HL7). • Contribute to the evolution of our data architecture strategy , incorporating best practices for cloud optimization, data governance, and emerging healthcare data trends. Required Skills & Qualifications • 8+ years of experience as a Data Engineer , with extensive work in Azure cloud services . • Strong proficiency in SQL, Python, PySpark, and Databricks for data engineering and advanced analytics. • Hands-on expertise with Azure Data Factory, Azure Synapse, Azure Data Lake, and Power BI . • Experience designing and implementing machine learning solutions in a healthcare environment. • Working knowledge of FHIR, HL7, and other healthcare interoperability standards . • Familiarity with DevOps practices and CI/CD pipelines for automating data workflows. • Strong analytical and problem-solving skills; proven ability to deliver in fast-paced, agile environments. Preferred Qualifications • Experience with Big Data ecosystems (Kafka, Hadoop, etc.) for real-time and batch data processing. • Knowledge of data governance frameworks and compliance regulations in healthcare. • Microsoft certifications such as Azure Data Engineer Associate or Databricks certifications. • Understanding of cloud cost optimization strategies for large-scale data workloads. Why Join Us? At Kanini, you will have the opportunity to: • Shape the future of healthcare data through innovative cloud and data science solutions. • Work with cutting-edge technologies while ensuring compliance and security in one of the most critical industries. • Collaborate with a passionate, mission-driven team that values innovation, agility, and excellence.

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