SQL Developer

We are looking for a proactive and detail-oriented Apache Superset & SQL Expert with at least 1 year of experience in the healthcare domain. As the selected candidate, your primary responsibility will be to create insightful BI dashboards and maintain complex data pipelines to support critical analytics for healthcare operations and compliance reporting. Your key responsibilities will include developing and managing advanced Apache Superset dashboards specifically designed for healthcare KPIs and operational metrics. You will be required to write, optimize, and maintain complex SQL queries for data extraction and transformation from various healthcare systems. Collaboration with data engineering and clinical teams to define and model datasets for visualization will also be a crucial part of your role. Ensuring that the dashboards comply with healthcare data governance, privacy regulations (e.g., HIPAA), and audit requirements will be a priority. You will also need to monitor performance, implement row-level security, and maintain a robust Superset configuration. Furthermore, translating clinical and operational requirements into meaningful visual stories will be essential in this position. The ideal candidate should possess at least 1 year of domain experience in healthcare analytics or working with healthcare datasets such as EHR, claims, patient outcomes, etc. Additionally, a minimum of 3 years of experience working with Apache Superset in a production environment is required. Proficiency in SQL, including query optimization, joins, aggregations, and complex transformations, is a must. Hands-on experience with data modeling and relational database design is also essential. A solid understanding of clinical terminology, healthcare KPIs, and reporting workflows is expected. Experience with PostgreSQL, MySQL, or other SQL-based databases is necessary. Strong documentation, communication, and stakeholder-facing skills are also key attributes for this role. Nice-to-have skills include familiarity with HIPAA, HL7/FHIR data structures, or other regulatory standards. Experience with Python, Flask, or Superset plugin development would be advantageous. Exposure to modern healthcare data platforms, dbt, or Airflow is a plus. Experience in integrating Superset with EMR, clinical data lakes, or warehouse systems like Redshift or BigQuery is also beneficial. This is a full-time position with a day shift schedule that requires in-person work. The expected start date for this role is 19/07/2025.,