Job Description

Senior Data Engineer

Should be proficient with SQL and Python Should be proficient with Spark (preferably PySpark and Spark SQL) Good to have experience with Azure Cloud, Azure Databricks, Azure Data Factory, ADLS and Azure SQL Good to have experience in healthcare domain Good to have Databricks or Azure certifications Senior Devops Engineer (or Senior Platform Engineer) Should be proficient with Azure Cloud Should be proficient in administration for Azure Databricks Should be proficient with IaC (infrastructure as code) - Terraform (or Bicep) Should be proficient with version control and CI&CD using Azure Pipelines (or equivalent e.g., Github Actions) Good to have experience with data engineering and analytics team Good to have experience about Spark (how compute works, infra optimizations, performance improvements) Good to have Databricks and Azure certification Senior Data Modeler (or BI analyst with medallion data architecture design) Should be proficient with SQL and Spark Should have experience in data modeling and architecture (conceptual, logical, and physical data models) -- dimensional modeling, relational modeling, etc. Should have adept knowledge about healthcare domain Should have excellent analytical skills for data analysis and profiling Should have technical writing skills for model documentation and to use modelling tools Good to have experience with metadata management and data governance Minimum 10 years of experience in similar functional domain is required.
Job Type: Full-time