Description

You will own data processing, analytics, and transformation workflows for healthcare and enterprise data.

Responsibilities

• Develop and maintain robust SQL/T-SQL scripts and stored procedures in SQL Server.
• Build data pipelines using Python for processing, cleaning, and analytics.
• Map and transform complex data formats including HL7, XML, JSON, CSV, and EDI.
• Design data models and implement automation for data lifecycle and quality assurance.
• Deploy and manage data solutions on cloud platforms such as AWS, Azure, or GCP.

Required Skills

• 5+ years of experience in data processing or analytics development.
• Strong proficiency in SQL, T-SQL, and SQL Server development.
• Hands-on experience with Python for data engineering tasks.
• Demonstrated expertise in handling HL7, XML, JSON, CSV, and EDI data structures.
• Experience with data modeling, mapping, and transformation logic.
• Knowledge of cloud infrastructure (AWS, Azure, or GCP).
• Bachelor’s degree in Computer Science, Data Science, Math, Statistics, or a related field.

Preferred Skills

• Experience with other RDBMS beyond SQL Server.
• Proficiency in UI development or Power BI for data visualization.

Key Skills

Education

Bachelor’s degree