Test Automation Consultant

Infosys
•$85,375 - $121,938

About The Position

The Infosys Healthcare unit is dedicated to transforming the healthcare industry by leveraging cutting-edge AI-driven solutions to simplify complexities and enhance patient experiences. We focus on creating connected ecosystems, optimizing operations, and delivering superior care across all touchpoints. Join us to be a part of a team that is at the forefront of healthcare innovation, driving down costs while improving patient outcomes.

Requirements

  • Experience in Big data testing and data quality validation.
  • Experience in source-to-target validation and reconciliation.
  • Experience in ETL and data quality pipeline testing.
  • Experience in data quality rule definition and threshold validation.
  • Experience in reporting and BI validation.
  • Experience in data defect management.
  • Experience in advanced SQL including joins, window functions, aggregations, and reconciliation queries.
  • Experience in Python validation scripting.
  • Experience in PySpark.
  • Experience in Pandas.
  • Experience in dimensional modeling concepts.
  • Experience in slowly changing dimensions (SCD).
  • Experience in data pipeline and orchestration concepts.
  • Experience in Databricks, Snowflake, Redshift, or Synapse.
  • Experience in Power BI, Tableau, or Cognos.
  • Experience in Informatica, Talend, Azure Data Factory, or Airflow.
  • Experience in Jira and qTest/ALM.
  • Experience in data quality frameworks including Great Expectations or dbt tests.
  • Experience in data masking and de-identification validation.
  • Experience in Healthcare payer data validation.
  • Experience in Claims (837/835) validation.
  • Experience in Enrollment and eligibility (834) validation.
  • Experience in Provider, member, encounter, HEDIS, risk adjustment, and regulatory reporting validation.
  • Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
  • Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future.

Nice To Haves

  • Experience in Healthcare payer platforms.
  • Experience in HL7.
  • Experience in FHIR.
  • Experience in C-CDA.
  • Experience in Cloud data platforms.
  • Experience in data warehouse modernization.
  • Experience in automated data validation frameworks.
  • Experience in data quality automation at scale.
  • Experience in regulatory reporting validation.
  • Experience in quality measures and HEDIS reporting.

Responsibilities

  • Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided
  • Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions
  • Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability
  • Conduct code reviews, do changes to the codebase and maintain code repositories
  • Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards
  • Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications
  • Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability
  • Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects

Benefits

  • Medical/Dental/Vision/Life Insurance
  • Long-term/Short-term Disability
  • Health and Dependent Care Reimbursement Accounts
  • Insurance (Accident, Critical Illness , Hospital Indemnity, Legal)
  • 401(k) plan and contributions dependent on salary level
  • Paid holidays plus Paid Time Off
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