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.
Job role: Technology Consultant 2
Required skills and experience
• 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.
Preferred skills
• 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.
Qualifications and work authorization
• 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.
• This position may require relocation and/or travel to work/project location.
• 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.
Benefits
Along with competitive pay, as a full-time Infosys employee you are also eligible for the following 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
About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
EEO
Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.