Senior Software Engineer I

Primary Responsibilities:

• Understanding Business Requirements and translating them into low level design for implementation
• Estimate the effort required to execute the business requirements
• Development of intake pipelines to ingest relevant data into Magnus to support analytics and reporting
• Track and report status on progress of development activities in team forums such as stand-up meetings
• Participate in planning activities such as Feature Grooming and PI Planning
• Driving innovation through delivery focused on reducing processing costs, automation of CI/CD pipelines and effective utilization of Azure resources
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

• Graduate degree or equivalent experience
• 7+ years of IT experience
• Programming Languages - Solid experience with languages like Python for data analysis and application development
• Orchestration - Solid experience in using ADF and Databricks for orchestrating data workflows, data movement, and transformation
• Cloud Computing - Solid understanding of the Azure platform and their data services
• ETL (Extract-Transform-Load) - Expertise in ETL processes and tools like DBT (Data Build Tool) and DBT framework/packages (DBT Core)
• Database Management Systems (DBMS) - Expertise in relational databases (e.g., Microsoft SQL Server) and NoSQL databases

Preferred Qualifications:

• Health Care experience
• Knowledge of Agile Scrum or Scaled Agile
• Knowledge of data security best practices, encryption, and access controls
• Understanding of data warehousing concepts, including data storage, retrieval, and optimization
• Understanding of the Data Vault methodology for scalable and flexible data warehousing
• Familiarity with Delta Lake, an open-table format that combines data lake flexibility with ACID transactions. Knowledge of the medallion architecture, which organizes data layers (Bronze, Silver, Gold) in a Lakehouse
• Proficiency in creating logical and physical data models to represent business requirements and system architecture