Data Engineering Analyst

Caring. Connecting. Growing together.

Primary Responsibilities

• Implementation:
• Data Mapping and Transformation:
• File Mapping: Complete file mapping based on layouts and requirements provided by Project Managers
• Business Logic: Document business logic for transforming data into product specifications
• Data Quality Checks: Run and interpret quality checks against loaded data to ensure accuracy and completeness
• Data transformation: Author and test ETL to convert data from one format to another. This includes cleaning, filtering, aggregating, enriching, normalizing, and encoding data to make it suitable for analysis, processing or integration
• Troubleshooting and Support:
• Issue Resolution: Troubleshoot issues raised by project managers and cross matrix teams from root cause identification to resolution
• Support Requests: Handle support requests and provide timely solutions to ensure client satisfaction
• Collaboration and Communication:
• Stakeholder Interaction: Work closely with Client, Project Managers, Product managers and other stakeholders to understand requirements and deliver solutions
• Documentation: Contribute to technical documentation of specifications and processes
• Communication: Effectively communicate complex concepts, both verbally and in writing, to team members and clients
• 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

• Bachelor's degree in Computer Science, Health Informatics, Information Technology, or other related fields.
• 2+ years of experience working with healthcare data (EMR Clinical and Financial data HL7 v2, CCDAs, EDI data - 835s, 837s, Claims from variety of payers etc.) sent as either Flat file/JSON/XML etc.
• 2+ years of experience working with Hive SQL, Postgres, or other data analysis language.
• 1+ years of experience with Git/GitHub.
  

Preferred Qualifications

• 2+ years of experience managing clients or working with them on tasks like requirements gathering, impact analysis etc.
• 2+ years of experience implementing and supporting client solutions on Azure Cloud platform
• 2+ years of experience coding in Databricks/Python or Databricks/Scala
• Experience with cutting edge technology (AI/ML)
• Familiarity with Agile or experience working in Scrum teams
• Proven highly analytical and think outside the box
• Proven solid written and verbal communications skills. Ability to clearly articulate ideas and concepts