Senior Data Engineer

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